Files
ANSLibs/QRCode/pdf417/PDFDetector.cpp

374 lines
13 KiB
C++

/*
* Copyright 2016 Nu-book Inc.
* Copyright 2016 ZXing authors
*/
// SPDX-License-Identifier: Apache-2.0
#include "PDFDetector.h"
#include "BinaryBitmap.h"
#include "BitMatrix.h"
#include "ZXNullable.h"
#include "Pattern.h"
#include <algorithm>
#include <array>
#include <cstdlib>
#include <limits>
#include <list>
#include <vector>
namespace ZXing {
namespace Pdf417 {
static const int INDEXES_START_PATTERN[] = { 0, 4, 1, 5 };
static const int INDEXES_STOP_PATTERN[] = { 6, 2, 7, 3 };
static const float MAX_AVG_VARIANCE = 0.42f;
static const float MAX_INDIVIDUAL_VARIANCE = 0.8f;
static const int MAX_PIXEL_DRIFT = 3;
static const int MAX_PATTERN_DRIFT = 5;
// if we set the value too low, then we don't detect the correct height of the bar if the start patterns are damaged.
// if we set the value too high, then we might detect the start pattern from a neighbor barcode.
static const int SKIPPED_ROW_COUNT_MAX = 25;
// A PDF471 barcode should have at least 3 rows, with each row being >= 3 times the module width. Therefore it should be at least
// 9 pixels tall. To be conservative, we use about half the size to ensure we don't miss it.
static const int ROW_STEP = 8; // used to be 5, but 8 is enough for conforming symbols
static const int BARCODE_MIN_HEIGHT = 10;
/**
* 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 float
PatternMatchVariance(const std::vector<int>& counters, const std::vector<int>& pattern, float maxIndividualVariance)
{
int total = 0;
int patternLength = 0;
for (size_t i = 0; i < counters.size(); 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 std::numeric_limits<float>::max();
}
// 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".
float unitBarWidth = (float)total / patternLength;
maxIndividualVariance *= unitBarWidth;
float totalVariance = 0.0f;
for (size_t x = 0; x < counters.size(); x++) {
int counter = counters[x];
float scaledPattern = pattern[x] * unitBarWidth;
float variance = counter > scaledPattern ? counter - scaledPattern : scaledPattern - counter;
if (variance > maxIndividualVariance) {
return std::numeric_limits<float>::max();
}
totalVariance += variance;
}
return totalVariance / total;
}
/**
* @param matrix row of black/white values to search
* @param column x position to start search
* @param row y position to start search
* @param width the number of pixels to search on this row
* @param pattern pattern of counts of number of black and white pixels that are
* being searched for as a pattern
* @param counters array of counters, as long as pattern, to re-use
* @return start/end horizontal offset of guard pattern, as an array of two ints.
*/
static bool
FindGuardPattern(const BitMatrix& matrix, int column, int row, int width, bool whiteFirst, const std::vector<int>& pattern, std::vector<int>& counters, int& startPos, int& endPos)
{
std::fill(counters.begin(), counters.end(), 0);
int patternLength = Size(pattern);
bool isWhite = whiteFirst;
int patternStart = column;
int pixelDrift = 0;
// if there are black pixels left of the current pixel shift to the left, but only for MAX_PIXEL_DRIFT pixels
while (matrix.get(patternStart, row) && patternStart > 0 && pixelDrift++ < MAX_PIXEL_DRIFT) {
patternStart--;
}
int x = patternStart;
int counterPosition = 0;
for (; x < width; x++) {
bool pixel = matrix.get(x, row);
if (pixel != isWhite) {
counters[counterPosition]++;
}
else {
if (counterPosition == patternLength - 1) {
if (PatternMatchVariance(counters, pattern, MAX_INDIVIDUAL_VARIANCE) < MAX_AVG_VARIANCE) {
startPos = patternStart;
endPos = x;
return true;
}
patternStart += counters[0] + counters[1];
std::copy(counters.begin() + 2, counters.end(), counters.begin());
counters[patternLength - 2] = 0;
counters[patternLength - 1] = 0;
counterPosition--;
}
else {
counterPosition++;
}
counters[counterPosition] = 1;
isWhite = !isWhite;
}
}
if (counterPosition == patternLength - 1) {
if (PatternMatchVariance(counters, pattern, MAX_INDIVIDUAL_VARIANCE) < MAX_AVG_VARIANCE) {
startPos = patternStart;
endPos = x - 1;
return true;
}
}
return false;
}
static std::array<Nullable<ResultPoint>, 4>&
FindRowsWithPattern(const BitMatrix& matrix, int height, int width, int startRow, int startColumn, const std::vector<int>& pattern, std::array<Nullable<ResultPoint>, 4>& result)
{
bool found = false;
int startPos, endPos;
int minStartRow = startRow;
std::vector<int> counters(pattern.size(), 0);
for (; startRow < height; startRow += ROW_STEP) {
if (FindGuardPattern(matrix, startColumn, startRow, width, false, pattern, counters, startPos, endPos)) {
while (startRow > minStartRow + 1) {
if (!FindGuardPattern(matrix, startColumn, --startRow, width, false, pattern, counters, startPos, endPos)) {
startRow++;
break;
}
}
result[0] = ResultPoint(startPos, startRow);
result[1] = ResultPoint(endPos, startRow);
found = true;
break;
}
}
int stopRow = startRow + 1;
// Last row of the current symbol that contains pattern
if (found) {
int skippedRowCount = 0;
int previousRowStart = static_cast<int>(result[0].value().x());
int previousRowEnd = static_cast<int>(result[1].value().x());
for (; stopRow < height; stopRow++) {
int startPos, endPos;
found = FindGuardPattern(matrix, previousRowStart, stopRow, width, false, pattern, counters, startPos, endPos);
// a found pattern is only considered to belong to the same barcode if the start and end positions
// don't differ too much. Pattern drift should be not bigger than two for consecutive rows. With
// a higher number of skipped rows drift could be larger. To keep it simple for now, we allow a slightly
// larger drift and don't check for skipped rows.
if (found && std::abs(previousRowStart - startPos) < MAX_PATTERN_DRIFT && std::abs(previousRowEnd - endPos) < MAX_PATTERN_DRIFT) {
previousRowStart = startPos;
previousRowEnd = endPos;
skippedRowCount = 0;
}
else if (skippedRowCount > SKIPPED_ROW_COUNT_MAX) {
break;
}
else {
skippedRowCount++;
}
}
stopRow -= skippedRowCount + 1;
result[2] = ResultPoint(previousRowStart, stopRow);
result[3] = ResultPoint(previousRowEnd, stopRow);
}
if (stopRow - startRow < BARCODE_MIN_HEIGHT) {
std::fill(result.begin(), result.end(), nullptr);
}
return result;
}
static void
CopyToResult(std::array<Nullable<ResultPoint>, 8>& result, const std::array<Nullable<ResultPoint>, 4>& tmpResult, const int destinationIndexes[4])
{
for (int i = 0; i < 4; i++) {
result[destinationIndexes[i]] = tmpResult[i];
}
}
/**
* Locate the vertices and the codewords area of a black blob using the Start
* and Stop patterns as locators.
*
* @param matrix the scanned barcode image.
* @return an array containing the vertices:
* vertices[0] x, y top left barcode
* vertices[1] x, y bottom left barcode
* vertices[2] x, y top right barcode
* vertices[3] x, y bottom right barcode
* vertices[4] x, y top left codeword area
* vertices[5] x, y bottom left codeword area
* vertices[6] x, y top right codeword area
* vertices[7] x, y bottom right codeword area
*/
static std::array<Nullable<ResultPoint>, 8> FindVertices(const BitMatrix& matrix, int startRow, int startColumn)
{
// B S B S B S B S Bar/Space pattern
// 11111111 0 1 0 1 0 1 000
static const std::vector<int> START_PATTERN = { 8, 1, 1, 1, 1, 1, 1, 3 };
// 1111111 0 1 000 1 0 1 00 1
static const std::vector<int> STOP_PATTERN = { 7, 1, 1, 3, 1, 1, 1, 2, 1 };
int width = matrix.width();
int height = matrix.height();
std::array<Nullable<ResultPoint>, 4> tmp;
std::array<Nullable<ResultPoint>, 8> result;
CopyToResult(result, FindRowsWithPattern(matrix, height, width, startRow, startColumn, START_PATTERN, tmp), INDEXES_START_PATTERN);
if (result[4] != nullptr) {
startColumn = static_cast<int>(result[4].value().x());
startRow = static_cast<int>(result[4].value().y());
#if 1 // 2x speed improvement for images with no PDF417 symbol by not looking for symbols without start guard (which are not conforming to spec anyway)
CopyToResult(result, FindRowsWithPattern(matrix, height, width, startRow, startColumn, STOP_PATTERN, tmp), INDEXES_STOP_PATTERN);
}
#else
}
CopyToResult(result, FindRowsWithPattern(matrix, height, width, startRow, startColumn, STOP_PATTERN, tmp), INDEXES_STOP_PATTERN);
#endif
return result;
}
/**
* Detects PDF417 codes in an image. Only checks 0 degree rotation
* @param multiple if true, then the image is searched for multiple codes. If false, then at most one code will
* be found and returned
* @param bitMatrix bit matrix to detect barcodes in
* @return List of ResultPoint arrays containing the coordinates of found barcodes
*/
static std::list<std::array<Nullable<ResultPoint>, 8>> DetectBarcode(const BitMatrix& bitMatrix, bool multiple)
{
int row = 0;
int column = 0;
bool foundBarcodeInRow = false;
std::list<std::array<Nullable<ResultPoint>, 8>> barcodeCoordinates;
while (row < bitMatrix.height()) {
auto vertices = FindVertices(bitMatrix, row, column);
if (vertices[0] == nullptr && vertices[3] == nullptr) {
if (!foundBarcodeInRow) {
// we didn't find any barcode so that's the end of searching
break;
}
// we didn't find a barcode starting at the given column and row. Try again from the first column and slightly
// below the lowest barcode we found so far.
foundBarcodeInRow = false;
column = 0;
for (auto& barcodeCoordinate : barcodeCoordinates) {
if (barcodeCoordinate[1] != nullptr) {
row = std::max(row, static_cast<int>(barcodeCoordinate[1].value().y()));
}
if (barcodeCoordinate[3] != nullptr) {
row = std::max(row, static_cast<int>(barcodeCoordinate[3].value().y()));
}
}
row += ROW_STEP;
continue;
}
foundBarcodeInRow = true;
barcodeCoordinates.push_back(vertices);
if (!multiple) {
break;
}
// if we didn't find a right row indicator column, then continue the search for the next barcode after the
// start pattern of the barcode just found.
if (vertices[2] != nullptr) {
column = static_cast<int>(vertices[2].value().x());
row = static_cast<int>(vertices[2].value().y());
}
else {
column = static_cast<int>(vertices[4].value().x());
row = static_cast<int>(vertices[4].value().y());
}
}
return barcodeCoordinates;
}
bool HasStartPattern(const BitMatrix& m, bool rotate90)
{
constexpr FixedPattern<8, 17> START_PATTERN = { 8, 1, 1, 1, 1, 1, 1, 3 };
constexpr int minSymbolWidth = 3*8+1; // compact symbol
PatternRow row;
int end = rotate90 ? m.width() : m.height();
for (int r = ROW_STEP; r < end; r += ROW_STEP) {
GetPatternRow(m, r, row, rotate90);
if (FindLeftGuard(row, minSymbolWidth, START_PATTERN, 2).isValid())
return true;
std::reverse(row.begin(), row.end());
if (FindLeftGuard(row, minSymbolWidth, START_PATTERN, 2).isValid())
return true;
}
return false;
}
/**
* <p>Detects a PDF417 Code in an image. Only checks 0 and 180 degree rotations.</p>
*
* @param image barcode image to decode
* @param multiple if true, then the image is searched for multiple codes. If false, then at most one code will
* be found and returned
*/
Detector::Result Detector::Detect(const BinaryBitmap& image, bool multiple, bool tryRotate)
{
// construct a 'dummy' shared pointer, just be able to pass it up the call chain in DetectorResult
// TODO: reimplement PDF Detector
auto binImg = std::shared_ptr<const BitMatrix>(image.getBitMatrix(), [](const BitMatrix*){});
if (!binImg)
return {};
Result result;
for (int rotate90 = 0; rotate90 <= static_cast<int>(tryRotate); ++rotate90) {
if (!HasStartPattern(*binImg, rotate90))
continue;
result.rotation = 90 * rotate90;
if (rotate90) {
auto newBits = std::make_shared<BitMatrix>(binImg->copy());
newBits->rotate90();
binImg = newBits;
}
result.points = DetectBarcode(*binImg, multiple);
result.bits = binImg;
if (result.points.empty()) {
auto newBits = std::make_shared<BitMatrix>(binImg->copy());
newBits->rotate180();
result.points = DetectBarcode(*newBits, multiple);
result.rotation += 180;
result.bits = newBits;
}
if (!result.points.empty())
return result;
}
return {};
}
} // Pdf417
} // ZXing