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

Attempts to decode a one-dimensional barcode format given a single row of /// an image.

/// ///
/// row number from top of the row /// /// the black/white pixel data of the row /// /// decode hints /// /// {@link Result} containing encoded string and start/end of barcode /// /// ReaderException if an error occurs or barcode cannot be found public abstract Result decodeRow(int rowNumber, BitArray row, System.Collections.Hashtable hints); } }