/* * Copyright 2007 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. */ namespace com.google.zxing.qrcode { using System; using System.Collections; using com.google.zxing.common; using com.google.zxing.qrcode.decoder; using com.google.zxing.qrcode.detector; public sealed class QRCodeReader: Reader { private static ResultPoint[] NO_POINTS = new ResultPoint[0]; private Decoder decoder = new Decoder(); /** * Locates and decodes a QR code in an image. * * @return a String representing the content encoded by the QR code * @throws ReaderException if a QR code cannot be found, or cannot be decoded */ public Result decode(MonochromeBitmapSource image) { try{ return decode(image, null); } catch(Exception e){ throw new ReaderException(e.Message); } } public Result decode(MonochromeBitmapSource image, Hashtable hints){ try{ DecoderResult decoderResult; ResultPoint[] points; if (hints != null && hints.ContainsKey(DecodeHintType.PURE_BARCODE)) { BitMatrix bits = extractPureBits(image); decoderResult = decoder.decode(bits); points = NO_POINTS; } else { DetectorResult detectorResult = new Detector(image).detect(hints); decoderResult = decoder.decode(detectorResult.getBits()); points = detectorResult.getPoints(); } Result result = new Result(decoderResult.getText(), decoderResult.getRawBytes(), points, BarcodeFormat.QR_CODE); if (decoderResult.getByteSegments() != null) { result.putMetadata(ResultMetadataType.BYTE_SEGMENTS, decoderResult.getByteSegments()); } return result; }catch(Exception e){ throw new ReaderException(e.Message); } } /** * This method detects a barcode in a "pure" image -- that is, pure monochrome image * which contains only an unrotated, unskewed, image of a barcode, with some white border * around it. This is a specialized method that works exceptionally fast in this special * case. */ private static BitMatrix extractPureBits(MonochromeBitmapSource image){ // Now need to determine module size in pixels int height = image.getHeight(); int width = image.getWidth(); int minDimension = Math.Min(height, width); // First, skip white border by tracking diagonally from the top left down and to the right: int borderWidth = 0; while (borderWidth < minDimension && !image.isBlack(borderWidth, borderWidth)) { borderWidth++; } if (borderWidth == minDimension) { throw new ReaderException(); } // And then keep tracking across the top-left black module to determine module size int moduleEnd = borderWidth; while (moduleEnd < minDimension && image.isBlack(moduleEnd, moduleEnd)) { moduleEnd++; } if (moduleEnd == minDimension) { throw new ReaderException(); } int moduleSize = moduleEnd - borderWidth; // And now find where the rightmost black module on the first row ends int rowEndOfSymbol = width - 1; while (rowEndOfSymbol >= 0 && !image.isBlack(rowEndOfSymbol, borderWidth)) { rowEndOfSymbol--; } if (rowEndOfSymbol < 0) { throw new ReaderException(); } rowEndOfSymbol++; // Make sure width of barcode is a multiple of module size if ((rowEndOfSymbol - borderWidth) % moduleSize != 0) { throw new ReaderException(); } int dimension = (rowEndOfSymbol - borderWidth) / moduleSize; // Push in the "border" by half the module width so that we start // sampling in the middle of the module. Just in case the image is a // little off, this will help recover. borderWidth += moduleSize >> 1; int sampleDimension = borderWidth + (dimension - 1) * moduleSize; if (sampleDimension >= width || sampleDimension >= height) { throw new ReaderException(); } // Now just read off the bits BitMatrix bits = new BitMatrix(dimension); for (int i = 0; i < dimension; i++) { int iOffset = borderWidth + i * moduleSize; for (int j = 0; j < dimension; j++) { if (image.isBlack(borderWidth + j * moduleSize, iOffset)) { bits.set(i, j); } } } return bits; } } }