@zxing/library
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TypeScript port of ZXing multi-format 1D/2D barcode image processing library.
254 lines (253 loc) • 11.4 kB
JavaScript
/*
* 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.
*/
import BitArray from '../common/BitArray';
import DecodeHintType from '../DecodeHintType';
import ResultMetadataType from '../ResultMetadataType';
import ResultPoint from '../ResultPoint';
import NotFoundException from '../NotFoundException';
/**
* Encapsulates functionality and implementation that is common to all families
* of one-dimensional barcodes.
*
* @author dswitkin@google.com (Daniel Switkin)
* @author Sean Owen
*/
export default class OneDReader {
/*
@Override
public Result decode(BinaryBitmap image) throws NotFoundException, FormatException {
return decode(image, null);
}
*/
// Note that we don't try rotation without the try harder flag, even if rotation was supported.
// @Override
decode(image, hints) {
try {
return this.doDecode(image, hints);
}
catch (nfe) {
const tryHarder = hints && (hints.get(DecodeHintType.TRY_HARDER) === true);
if (tryHarder && image.isRotateSupported()) {
const rotatedImage = image.rotateCounterClockwise();
const result = this.doDecode(rotatedImage, hints);
// Record that we found it rotated 90 degrees CCW / 270 degrees CW
const metadata = result.getResultMetadata();
let orientation = 270;
if (metadata !== null && (metadata.get(ResultMetadataType.ORIENTATION) === true)) {
// But if we found it reversed in doDecode(), add in that result here:
orientation = (orientation + metadata.get(ResultMetadataType.ORIENTATION) % 360);
}
result.putMetadata(ResultMetadataType.ORIENTATION, orientation);
// Update result points
const points = result.getResultPoints();
if (points !== null) {
const height = rotatedImage.getHeight();
for (let i = 0; i < points.length; i++) {
points[i] = new ResultPoint(height - points[i].getY() - 1, points[i].getX());
}
}
return result;
}
else {
throw new NotFoundException();
}
}
}
// @Override
reset() {
// do nothing
}
/**
* 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".
*
* @param image The image to decode
* @param hints Any hints that were requested
* @return The contents of the decoded barcode
* @throws NotFoundException Any spontaneous errors which occur
*/
doDecode(image, hints) {
const width = image.getWidth();
const height = image.getHeight();
let row = new BitArray(width);
const tryHarder = hints && (hints.get(DecodeHintType.TRY_HARDER) === true);
const rowStep = Math.max(1, height >> (tryHarder ? 8 : 5));
let maxLines;
if (tryHarder) {
maxLines = height; // Look at the whole image, not just the center
}
else {
maxLines = 15; // 15 rows spaced 1/32 apart is roughly the middle half of the image
}
const middle = Math.trunc(height / 2);
for (let x = 0; x < maxLines; x++) {
// Scanning from the middle out. Determine which row we're looking at next:
const rowStepsAboveOrBelow = Math.trunc((x + 1) / 2);
const isAbove = (x & 0x01) === 0; // i.e. is x even?
const 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 (ignored) {
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 (let 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 && (hints.get(DecodeHintType.NEED_RESULT_POINT_CALLBACK) === true)) {
const newHints = new Map();
hints.forEach((hint, key) => newHints.set(key, hint));
newHints.delete(DecodeHintType.NEED_RESULT_POINT_CALLBACK);
hints = newHints;
}
}
try {
// Look for a barcode
const result = this.decodeRow(rowNumber, row, hints);
// We found our barcode
if (attempt === 1) {
// But it was upside down, so note that
result.putMetadata(ResultMetadataType.ORIENTATION, 180);
// And remember to flip the result points horizontally.
const points = result.getResultPoints();
if (points !== null) {
points[0] = new ResultPoint(width - points[0].getX() - 1, points[0].getY());
points[1] = new ResultPoint(width - points[1].getX() - 1, points[1].getY());
}
}
return result;
}
catch (re) {
// continue -- just couldn't decode this row
}
}
}
throw new NotFoundException();
}
/**
* 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.
*
* @param row row to count from
* @param start offset into row to start at
* @param counters array into which to record counts
* @throws NotFoundException if counters cannot be filled entirely from row before running out
* of pixels
*/
static recordPattern(row, start, counters) {
const numCounters = counters.length;
for (let index = 0; index < numCounters; index++)
counters[index] = 0;
const end = row.getSize();
if (start >= end) {
throw new NotFoundException();
}
let isWhite = !row.get(start);
let counterPosition = 0;
let i = start;
while (i < end) {
if (row.get(i) !== isWhite) {
counters[counterPosition]++;
}
else {
if (++counterPosition === numCounters) {
break;
}
else {
counters[counterPosition] = 1;
isWhite = !isWhite;
}
}
i++;
}
// 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 && i === end))) {
throw new NotFoundException();
}
}
static recordPatternInReverse(row, start, counters) {
// This could be more efficient I guess
let numTransitionsLeft = counters.length;
let last = row.get(start);
while (start > 0 && numTransitionsLeft >= 0) {
if (row.get(--start) !== last) {
numTransitionsLeft--;
last = !last;
}
}
if (numTransitionsLeft >= 0) {
throw new NotFoundException();
}
OneDReader.recordPattern(row, start + 1, counters);
}
/**
* 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.
*
* @param counters observed counters
* @param pattern expected pattern
* @param maxIndividualVariance The most any counter can differ before we give up
* @return ratio of total variance between counters and pattern compared to total pattern size
*/
static patternMatchVariance(counters, pattern, maxIndividualVariance) {
const numCounters = counters.length;
let total = 0;
let patternLength = 0;
for (let 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 Number.POSITIVE_INFINITY;
}
const unitBarWidth = total / patternLength;
maxIndividualVariance *= unitBarWidth;
let totalVariance = 0.0;
for (let x = 0; x < numCounters; x++) {
const counter = counters[x];
const scaledPattern = pattern[x] * unitBarWidth;
const variance = counter > scaledPattern ? counter - scaledPattern : scaledPattern - counter;
if (variance > maxIndividualVariance) {
return Number.POSITIVE_INFINITY;
}
totalVariance += variance;
}
return totalVariance / total;
}
}