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d4efd44fb0
git-svn-id: https://zxing.googlecode.com/svn/trunk@1202 59b500cc-1b3d-0410-9834-0bbf25fbcc57
332 lines
13 KiB
C#
Executable file
332 lines
13 KiB
C#
Executable file
/*
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* Copyright 2008 ZXing authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using BinaryBitmap = com.google.zxing.BinaryBitmap;
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using DecodeHintType = com.google.zxing.DecodeHintType;
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using Reader = com.google.zxing.Reader;
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using ReaderException = com.google.zxing.ReaderException;
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using Result = com.google.zxing.Result;
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using ResultMetadataType = com.google.zxing.ResultMetadataType;
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using ResultPoint = com.google.zxing.ResultPoint;
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using BitArray = com.google.zxing.common.BitArray;
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namespace com.google.zxing.oned
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{
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/// <summary> Encapsulates functionality and implementation that is common to all families
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/// of one-dimensional barcodes.
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///
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/// </summary>
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/// <author> dswitkin@google.com (Daniel Switkin)
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/// </author>
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/// <author> Sean Owen
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/// </author>
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/// <author>www.Redivivus.in (suraj.supekar@redivivus.in) - Ported from ZXING Java Source
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/// </author>
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public abstract class OneDReader : Reader
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{
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private const int INTEGER_MATH_SHIFT = 8;
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//UPGRADE_NOTE: Final was removed from the declaration of 'PATTERN_MATCH_RESULT_SCALE_FACTOR '. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1003'"
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internal static readonly int PATTERN_MATCH_RESULT_SCALE_FACTOR = 1 << INTEGER_MATH_SHIFT;
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public virtual Result decode(BinaryBitmap image)
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{
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return decode(image, null);
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}
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// Note that we don't try rotation without the try harder flag, even if rotation was supported.
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public virtual Result decode(BinaryBitmap image, System.Collections.Hashtable hints)
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{
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try
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{
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return doDecode(image, hints);
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}
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catch (ReaderException re)
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{
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bool tryHarder = hints != null && hints.ContainsKey(DecodeHintType.TRY_HARDER);
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if (tryHarder && image.RotateSupported)
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{
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BinaryBitmap rotatedImage = image.rotateCounterClockwise();
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Result result = doDecode(rotatedImage, hints);
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// Record that we found it rotated 90 degrees CCW / 270 degrees CW
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System.Collections.Hashtable metadata = result.ResultMetadata;
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int orientation = 270;
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if (metadata != null && metadata.ContainsKey(ResultMetadataType.ORIENTATION))
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{
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// But if we found it reversed in doDecode(), add in that result here:
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orientation = (orientation + ((System.Int32) metadata[ResultMetadataType.ORIENTATION])) % 360;
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}
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result.putMetadata(ResultMetadataType.ORIENTATION, (System.Object) orientation);
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// Update result points
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ResultPoint[] points = result.ResultPoints;
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int height = rotatedImage.Height;
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for (int i = 0; i < points.Length; i++)
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{
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points[i] = new ResultPoint(height - points[i].Y - 1, points[i].X);
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}
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return result;
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}
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else
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{
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throw re;
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}
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}
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}
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/// <summary> We're going to examine rows from the middle outward, searching alternately above and below the
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/// middle, and farther out each time. rowStep is the number of rows between each successive
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/// attempt above and below the middle. So we'd scan row middle, then middle - rowStep, then
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/// middle + rowStep, then middle - (2 * rowStep), etc.
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/// rowStep is bigger as the image is taller, but is always at least 1. We've somewhat arbitrarily
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/// decided that moving up and down by about 1/16 of the image is pretty good; we try more of the
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/// image if "trying harder".
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///
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/// </summary>
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/// <param name="image">The image to decode
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/// </param>
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/// <param name="hints">Any hints that were requested
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/// </param>
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/// <returns> The contents of the decoded barcode
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/// </returns>
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/// <throws> ReaderException Any spontaneous errors which occur </throws>
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private Result doDecode(BinaryBitmap image, System.Collections.Hashtable hints)
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{
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int width = image.Width;
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int height = image.Height;
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BitArray row = new BitArray(width);
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int middle = height >> 1;
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bool tryHarder = hints != null && hints.ContainsKey(DecodeHintType.TRY_HARDER);
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int rowStep = System.Math.Max(1, height >> (tryHarder?7:4));
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int maxLines;
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if (tryHarder)
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{
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maxLines = height; // Look at the whole image, not just the center
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}
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else
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{
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maxLines = 9; // Nine rows spaced 1/16 apart is roughly the middle half of the image
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}
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for (int x = 0; x < maxLines; x++)
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{
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// Scanning from the middle out. Determine which row we're looking at next:
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int rowStepsAboveOrBelow = (x + 1) >> 1;
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bool isAbove = (x & 0x01) == 0; // i.e. is x even?
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int rowNumber = middle + rowStep * (isAbove?rowStepsAboveOrBelow:- rowStepsAboveOrBelow);
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if (rowNumber < 0 || rowNumber >= height)
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{
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// Oops, if we run off the top or bottom, stop
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break;
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}
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// Estimate black point for this row and load it:
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try
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{
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row = image.getBlackRow(rowNumber, row);
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}
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catch (ReaderException re)
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{
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continue;
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}
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// While we have the image data in a BitArray, it's fairly cheap to reverse it in place to
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// handle decoding upside down barcodes.
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for (int attempt = 0; attempt < 2; attempt++)
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{
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if (attempt == 1)
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{
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// trying again?
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row.reverse(); // reverse the row and continue
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// This means we will only ever draw result points *once* in the life of this method
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// since we want to avoid drawing the wrong points after flipping the row, and,
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// don't want to clutter with noise from every single row scan -- just the scans
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// that start on the center line.
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if (hints != null && hints.ContainsKey(DecodeHintType.NEED_RESULT_POINT_CALLBACK))
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{
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System.Collections.Hashtable newHints = System.Collections.Hashtable.Synchronized(new System.Collections.Hashtable()); // Can't use clone() in J2ME
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System.Collections.IEnumerator hintEnum = hints.Keys.GetEnumerator();
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//UPGRADE_TODO: Method 'java.util.Enumeration.hasMoreElements' was converted to 'System.Collections.IEnumerator.MoveNext' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationhasMoreElements'"
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while (hintEnum.MoveNext())
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{
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//UPGRADE_TODO: Method 'java.util.Enumeration.nextElement' was converted to 'System.Collections.IEnumerator.Current' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationnextElement'"
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System.Object key = hintEnum.Current;
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if (!key.Equals(DecodeHintType.NEED_RESULT_POINT_CALLBACK))
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{
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newHints[key] = hints[key];
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}
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}
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hints = newHints;
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}
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}
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try
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{
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// Look for a barcode
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Result result = decodeRow(rowNumber, row, hints);
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// We found our barcode
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if (attempt == 1)
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{
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// But it was upside down, so note that
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result.putMetadata(ResultMetadataType.ORIENTATION, (System.Object) 180);
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// And remember to flip the result points horizontally.
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ResultPoint[] points = result.ResultPoints;
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points[0] = new ResultPoint(width - points[0].X - 1, points[0].Y);
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points[1] = new ResultPoint(width - points[1].X - 1, points[1].Y);
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}
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return result;
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}
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catch (ReaderException re)
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{
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// continue -- just couldn't decode this row
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}
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}
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}
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throw ReaderException.Instance;
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}
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/// <summary> Records the size of successive runs of white and black pixels in a row, starting at a given point.
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/// The values are recorded in the given array, and the number of runs recorded is equal to the size
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/// of the array. If the row starts on a white pixel at the given start point, then the first count
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/// recorded is the run of white pixels starting from that point; likewise it is the count of a run
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/// of black pixels if the row begin on a black pixels at that point.
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///
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/// </summary>
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/// <param name="row">row to count from
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/// </param>
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/// <param name="start">offset into row to start at
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/// </param>
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/// <param name="counters">array into which to record counts
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/// </param>
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/// <throws> ReaderException if counters cannot be filled entirely from row before running out </throws>
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/// <summary> of pixels
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/// </summary>
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internal static void recordPattern(BitArray row, int start, int[] counters)
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{
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int numCounters = counters.Length;
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for (int i = 0; i < numCounters; i++)
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{
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counters[i] = 0;
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}
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int end = row.Size;
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if (start >= end)
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{
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throw ReaderException.Instance;
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}
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bool isWhite = !row.get_Renamed(start);
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int counterPosition = 0;
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int i2 = start;
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while (i2 < end)
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{
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bool pixel = row.get_Renamed(i2);
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if (pixel ^ isWhite)
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{
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// that is, exactly one is true
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counters[counterPosition]++;
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}
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else
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{
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counterPosition++;
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if (counterPosition == numCounters)
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{
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break;
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}
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else
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{
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counters[counterPosition] = 1;
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isWhite ^= true; // isWhite = !isWhite;
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}
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}
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i2++;
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}
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// If we read fully the last section of pixels and filled up our counters -- or filled
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// the last counter but ran off the side of the image, OK. Otherwise, a problem.
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if (!(counterPosition == numCounters || (counterPosition == numCounters - 1 && i2 == end)))
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{
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throw ReaderException.Instance;
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}
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}
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/// <summary> Determines how closely a set of observed counts of runs of black/white values matches a given
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/// target pattern. This is reported as the ratio of the total variance from the expected pattern
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/// proportions across all pattern elements, to the length of the pattern.
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///
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/// </summary>
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/// <param name="counters">observed counters
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/// </param>
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/// <param name="pattern">expected pattern
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/// </param>
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/// <param name="maxIndividualVariance">The most any counter can differ before we give up
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/// </param>
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/// <returns> ratio of total variance between counters and pattern compared to total pattern size,
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/// where the ratio has been multiplied by 256. So, 0 means no variance (perfect match); 256 means
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/// the total variance between counters and patterns equals the pattern length, higher values mean
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/// even more variance
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/// </returns>
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internal static int patternMatchVariance(int[] counters, int[] pattern, int maxIndividualVariance)
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{
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int numCounters = counters.Length;
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int total = 0;
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int patternLength = 0;
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for (int i = 0; i < numCounters; i++)
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{
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total += counters[i];
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patternLength += pattern[i];
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}
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if (total < patternLength)
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{
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// If we don't even have one pixel per unit of bar width, assume this is too small
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// to reliably match, so fail:
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return System.Int32.MaxValue;
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}
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// We're going to fake floating-point math in integers. We just need to use more bits.
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// Scale up patternLength so that intermediate values below like scaledCounter will have
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// more "significant digits"
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int unitBarWidth = (total << INTEGER_MATH_SHIFT) / patternLength;
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maxIndividualVariance = (maxIndividualVariance * unitBarWidth) >> INTEGER_MATH_SHIFT;
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int totalVariance = 0;
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for (int x = 0; x < numCounters; x++)
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{
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int counter = counters[x] << INTEGER_MATH_SHIFT;
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int scaledPattern = pattern[x] * unitBarWidth;
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int variance = counter > scaledPattern?counter - scaledPattern:scaledPattern - counter;
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if (variance > maxIndividualVariance)
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{
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return System.Int32.MaxValue;
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}
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totalVariance += variance;
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}
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return totalVariance / total;
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}
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/// <summary> <p>Attempts to decode a one-dimensional barcode format given a single row of
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/// an image.</p>
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///
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/// </summary>
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/// <param name="rowNumber">row number from top of the row
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/// </param>
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/// <param name="row">the black/white pixel data of the row
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/// </param>
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/// <param name="hints">decode hints
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/// </param>
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/// <returns> {@link Result} containing encoded string and start/end of barcode
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/// </returns>
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/// <throws> ReaderException if an error occurs or barcode cannot be found </throws>
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public abstract Result decodeRow(int rowNumber, BitArray row, System.Collections.Hashtable hints);
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}
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} |