final FinderPatternInfo find(Map<DecodeHintType, ?> paramMap)
throws NotFoundException
{
int i;
int j;
int k;
int m;
boolean bool;
int[] arrayOfInt;
int n;
if ((paramMap != null) && (paramMap.containsKey(DecodeHintType.TRY_HARDER)))
{
i = 1;
j = this.image.getHeight();
k = this.image.getWidth();
m = j * 3 / 228;
if ((m < 3) || (i != 0)) {
m = 3;
}
bool = false;
arrayOfInt = new int[5];
n = m - 1;
}
for (;;)
{
if ((n >= j) || (bool)) {
break label451;
}
arrayOfInt[0] = 0;
arrayOfInt[1] = 0;
arrayOfInt[2] = 0;
arrayOfInt[3] = 0;
arrayOfInt[4] = 0;
int i1 = 0;
int i2 = 0;
label113:
if (i2 < k)
{
if (this.image.get(i2, n))
{
if ((i1 & 0x1) == 1) {
i1++;
}
arrayOfInt[i1] = (1 + arrayOfInt[i1]);
}
for (;;)
{
i2++;
break label113;
i = 0;
break;
if ((i1 & 0x1) == 0)
{
if (i1 == 4)
{
if (foundPatternCross(arrayOfInt))
{
if (handlePossibleCenter(arrayOfInt, n, i2))
{
m = 2;
if (this.hasSkipped) {
bool = haveMultiplyConfirmedCenters();
}
for (;;)
{
arrayOfInt[0] = 0;
arrayOfInt[1] = 0;
arrayOfInt[2] = 0;
arrayOfInt[3] = 0;
arrayOfInt[4] = 0;
i1 = 0;
break;
int i3 = findRowSkip();
if (i3 > arrayOfInt[2])
{
n += i3 - arrayOfInt[2] - m;
i2 = k - 1;
}
}
}
arrayOfInt[0] = arrayOfInt[2];
arrayOfInt[1] = arrayOfInt[3];
arrayOfInt[2] = arrayOfInt[4];
arrayOfInt[3] = 1;
arrayOfInt[4] = 0;
i1 = 3;
}
else
{
arrayOfInt[0] = arrayOfInt[2];
arrayOfInt[1] = arrayOfInt[3];
arrayOfInt[2] = arrayOfInt[4];
arrayOfInt[3] = 1;
arrayOfInt[4] = 0;
i1 = 3;
}
}
else
{
i1++;
arrayOfInt[i1] = (1 + arrayOfInt[i1]);
}
}
else {
arrayOfInt[i1] = (1 + arrayOfInt[i1]);
}
}
}
if ((foundPatternCross(arrayOfInt)) && (handlePossibleCenter(arrayOfInt, n, k)))
{
m = arrayOfInt[0];
if (this.hasSkipped) {
bool = haveMultiplyConfirmedCenters();
}
}
n += m;
}
label451:
FinderPattern[] arrayOfFinderPattern = selectBestPatterns();
ResultPoint.orderBestPatterns(arrayOfFinderPattern);
return new FinderPatternInfo(arrayOfFinderPattern);
}
public FinderPatternInfo[] findMulti(Map<DecodeHintType, ?> hints) throws NotFoundException {
boolean tryHarder = hints != null && hints.containsKey(DecodeHintType.TRY_HARDER);
boolean pureBarcode = hints != null && hints.containsKey(DecodeHintType.PURE_BARCODE);
BitMatrix image = getImage();
int maxI = image.getHeight();
int maxJ = image.getWidth();
// We are looking for black/white/black/white/black modules in
// 1:1:3:1:1 ratio; this tracks the number of such modules seen so far
// Let's assume that the maximum version QR Code we support takes up 1/4 the height of the
// image, and then account for the center being 3 modules in size. This gives the smallest
// number of pixels the center could be, so skip this often. When trying harder, look for all
// QR versions regardless of how dense they are.
int iSkip = (int) (maxI / (MAX_MODULES * 4.0f) * 3);
if (iSkip < MIN_SKIP || tryHarder) {
iSkip = MIN_SKIP;
}
int[] stateCount = new int[5];
for (int i = iSkip - 1; i < maxI; i += iSkip) {
// Get a row of black/white values
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
int currentState = 0;
for (int j = 0; j < maxJ; j++) {
if (image.get(j, i)) {
// Black pixel
if ((currentState & 1) == 1) { // Counting white pixels
currentState++;
}
stateCount[currentState]++;
} else { // White pixel
if ((currentState & 1) == 0) { // Counting black pixels
if (currentState == 4) { // A winner?
if (foundPatternCross(stateCount)
&& handlePossibleCenter(stateCount, i, j, pureBarcode)) { // Yes
// Clear state to start looking again
currentState = 0;
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
} else { // No, shift counts back by two
stateCount[0] = stateCount[2];
stateCount[1] = stateCount[3];
stateCount[2] = stateCount[4];
stateCount[3] = 1;
stateCount[4] = 0;
currentState = 3;
}
} else {
stateCount[++currentState]++;
}
} else { // Counting white pixels
stateCount[currentState]++;
}
}
} // for j=...
if (foundPatternCross(stateCount)) {
handlePossibleCenter(stateCount, i, maxJ, pureBarcode);
} // end if foundPatternCross
} // for i=iSkip-1 ...
FinderPattern[][] patternInfo = selectMutipleBestPatterns();
List<FinderPatternInfo> result = new ArrayList<>();
for (FinderPattern[] pattern : patternInfo) {
ResultPoint.orderBestPatterns(pattern);
result.add(new FinderPatternInfo(pattern));
}
if (result.isEmpty()) {
return EMPTY_RESULT_ARRAY;
} else {
return result.toArray(new FinderPatternInfo[result.size()]);
}
}
/**
* @return the 3 best {@link FinderPattern}s from our list of candidates. The "best" are those
* that have been detected at least {@link #CENTER_QUORUM} times, and whose module size
* differs from the average among those patterns the least
* @throws NotFoundException if 3 such finder patterns do not exist
*/
private FinderPattern[][] selectMutipleBestPatterns() throws NotFoundException {
List<FinderPattern> possibleCenters = getPossibleCenters();
int size = possibleCenters.size();
if (size < 3) {
// Couldn't find enough finder patterns
throw NotFoundException.getNotFoundInstance();
}
/*
* Begin HE modifications to safely detect multiple codes of equal size
*/
if (size == 3) {
return new FinderPattern[][] {
new FinderPattern[] {possibleCenters.get(0), possibleCenters.get(1), possibleCenters.get(2)}
};
}
// Sort by estimated module size to speed up the upcoming checks
Collections.sort(possibleCenters, new ModuleSizeComparator());
/*
* Now lets start: build a list of tuples of three finder locations that
* - feature similar module sizes
* - are placed in a distance so the estimated module count is within the QR specification
* - have similar distance between upper left/right and left top/bottom finder patterns
* - form a triangle with 90° angle (checked by comparing top right/bottom left distance
* with pythagoras)
*
* Note: we allow each point to be used for more than one code region: this might seem
* counterintuitive at first, but the performance penalty is not that big. At this point,
* we cannot make a good quality decision whether the three finders actually represent
* a QR code, or are just by chance layouted so it looks like there might be a QR code there.
* So, if the layout seems right, lets have the decoder try to decode.
*/
List<FinderPattern[]> results = new ArrayList<>(); // holder for the results
for (int i1 = 0; i1 < (size - 2); i1++) {
FinderPattern p1 = possibleCenters.get(i1);
if (p1 == null) {
continue;
}
for (int i2 = i1 + 1; i2 < (size - 1); i2++) {
FinderPattern p2 = possibleCenters.get(i2);
if (p2 == null) {
continue;
}
// Compare the expected module sizes; if they are really off, skip
float vModSize12 =
(p1.getEstimatedModuleSize() - p2.getEstimatedModuleSize())
/ Math.min(p1.getEstimatedModuleSize(), p2.getEstimatedModuleSize());
float vModSize12A = Math.abs(p1.getEstimatedModuleSize() - p2.getEstimatedModuleSize());
if (vModSize12A > DIFF_MODSIZE_CUTOFF && vModSize12 >= DIFF_MODSIZE_CUTOFF_PERCENT) {
// break, since elements are ordered by the module size deviation there cannot be
// any more interesting elements for the given p1.
break;
}
for (int i3 = i2 + 1; i3 < size; i3++) {
FinderPattern p3 = possibleCenters.get(i3);
if (p3 == null) {
continue;
}
// Compare the expected module sizes; if they are really off, skip
float vModSize23 =
(p2.getEstimatedModuleSize() - p3.getEstimatedModuleSize())
/ Math.min(p2.getEstimatedModuleSize(), p3.getEstimatedModuleSize());
float vModSize23A = Math.abs(p2.getEstimatedModuleSize() - p3.getEstimatedModuleSize());
if (vModSize23A > DIFF_MODSIZE_CUTOFF && vModSize23 >= DIFF_MODSIZE_CUTOFF_PERCENT) {
// break, since elements are ordered by the module size deviation there cannot be
// any more interesting elements for the given p1.
break;
}
FinderPattern[] test = {p1, p2, p3};
ResultPoint.orderBestPatterns(test);
// Calculate the distances: a = topleft-bottomleft, b=topleft-topright, c = diagonal
FinderPatternInfo info = new FinderPatternInfo(test);
float dA = ResultPoint.distance(info.getTopLeft(), info.getBottomLeft());
float dC = ResultPoint.distance(info.getTopRight(), info.getBottomLeft());
float dB = ResultPoint.distance(info.getTopLeft(), info.getTopRight());
// Check the sizes
float estimatedModuleCount = (dA + dB) / (p1.getEstimatedModuleSize() * 2.0f);
if (estimatedModuleCount > MAX_MODULE_COUNT_PER_EDGE
|| estimatedModuleCount < MIN_MODULE_COUNT_PER_EDGE) {
continue;
}
// Calculate the difference of the edge lengths in percent
float vABBC = Math.abs((dA - dB) / Math.min(dA, dB));
if (vABBC >= 0.1f) {
continue;
}
// Calculate the diagonal length by assuming a 90° angle at topleft
float dCpy = (float) Math.sqrt(dA * dA + dB * dB);
// Compare to the real distance in %
float vPyC = Math.abs((dC - dCpy) / Math.min(dC, dCpy));
if (vPyC >= 0.1f) {
continue;
}
// All tests passed!
results.add(test);
} // end iterate p3
} // end iterate p2
} // end iterate p1
if (!results.isEmpty()) {
return results.toArray(new FinderPattern[results.size()][]);
}
// Nothing found!
throw NotFoundException.getNotFoundInstance();
}
/**
* Detects a Data Matrix Code in an image.
*
* @return {@link DetectorResult} encapsulating results of detecting a Data Matrix Code
* @throws NotFoundException if no Data Matrix Code can be found
*/
public DetectorResult detect() throws NotFoundException {
ResultPoint[] cornerPoints = rectangleDetector.detect();
ResultPoint pointA = cornerPoints[0];
ResultPoint pointB = cornerPoints[1];
ResultPoint pointC = cornerPoints[2];
ResultPoint pointD = cornerPoints[3];
// Point A and D are across the diagonal from one another,
// as are B and C. Figure out which are the solid black lines
// by counting transitions
Vector transitions = new Vector(4);
transitions.addElement(transitionsBetween(pointA, pointB));
transitions.addElement(transitionsBetween(pointA, pointC));
transitions.addElement(transitionsBetween(pointB, pointD));
transitions.addElement(transitionsBetween(pointC, pointD));
Collections.insertionSort(transitions, new ResultPointsAndTransitionsComparator());
// Sort by number of transitions. First two will be the two solid sides; last two
// will be the two alternating black/white sides
ResultPointsAndTransitions lSideOne = (ResultPointsAndTransitions) transitions.elementAt(0);
ResultPointsAndTransitions lSideTwo = (ResultPointsAndTransitions) transitions.elementAt(1);
// Figure out which point is their intersection by tallying up the number of times we see the
// endpoints in the four endpoints. One will show up twice.
Hashtable pointCount = new Hashtable();
increment(pointCount, lSideOne.getFrom());
increment(pointCount, lSideOne.getTo());
increment(pointCount, lSideTwo.getFrom());
increment(pointCount, lSideTwo.getTo());
ResultPoint maybeTopLeft = null;
ResultPoint bottomLeft = null;
ResultPoint maybeBottomRight = null;
Enumeration points = pointCount.keys();
while (points.hasMoreElements()) {
ResultPoint point = (ResultPoint) points.nextElement();
Integer value = (Integer) pointCount.get(point);
if (value.intValue() == 2) {
bottomLeft = point; // this is definitely the bottom left, then -- end of two L sides
} else {
// Otherwise it's either top left or bottom right -- just assign the two arbitrarily now
if (maybeTopLeft == null) {
maybeTopLeft = point;
} else {
maybeBottomRight = point;
}
}
}
if (maybeTopLeft == null || bottomLeft == null || maybeBottomRight == null) {
throw NotFoundException.getNotFoundInstance();
}
// Bottom left is correct but top left and bottom right might be switched
ResultPoint[] corners = {maybeTopLeft, bottomLeft, maybeBottomRight};
// Use the dot product trick to sort them out
ResultPoint.orderBestPatterns(corners);
// Now we know which is which:
ResultPoint bottomRight = corners[0];
bottomLeft = corners[1];
ResultPoint topLeft = corners[2];
// Which point didn't we find in relation to the "L" sides? that's the top right corner
ResultPoint topRight;
if (!pointCount.containsKey(pointA)) {
topRight = pointA;
} else if (!pointCount.containsKey(pointB)) {
topRight = pointB;
} else if (!pointCount.containsKey(pointC)) {
topRight = pointC;
} else {
topRight = pointD;
}
// Next determine the dimension by tracing along the top or right side and counting black/white
// transitions. Since we start inside a black module, we should see a number of transitions
// equal to 1 less than the code dimension. Well, actually 2 less, because we are going to
// end on a black module:
// The top right point is actually the corner of a module, which is one of the two black modules
// adjacent to the white module at the top right. Tracing to that corner from either the top
// left
// or bottom right should work here.
int dimension =
Math.min(
transitionsBetween(topLeft, topRight).getTransitions(),
transitionsBetween(bottomRight, topRight).getTransitions());
if ((dimension & 0x01) == 1) {
// it can't be odd, so, round... up?
dimension++;
}
dimension += 2;
// correct top right point to match the white module
ResultPoint correctedTopRight =
correctTopRight(bottomLeft, bottomRight, topLeft, topRight, dimension);
if (correctedTopRight == null) {
correctedTopRight = topRight;
}
// We redetermine the dimension using the corrected top right point
int dimension2 =
Math.max(
transitionsBetween(topLeft, correctedTopRight).getTransitions(),
transitionsBetween(bottomRight, correctedTopRight).getTransitions());
dimension2++;
if ((dimension2 & 0x01) == 1) {
dimension2++;
}
BitMatrix bits =
sampleGrid(image, topLeft, bottomLeft, bottomRight, correctedTopRight, dimension2);
return new DetectorResult(
bits, new ResultPoint[] {topLeft, bottomLeft, bottomRight, correctedTopRight});
}
public FinderPatternInfo[] findMulti(Hashtable hints) throws NotFoundException {
boolean tryHarder = hints != null && hints.containsKey(DecodeHintType.TRY_HARDER);
BitMatrix image = getImage();
int maxI = image.getHeight();
int maxJ = image.getWidth();
// We are looking for black/white/black/white/black modules in
// 1:1:3:1:1 ratio; this tracks the number of such modules seen so far
// Let's assume that the maximum version QR Code we support takes up 1/4 the height of the
// image, and then account for the center being 3 modules in size. This gives the smallest
// number of pixels the center could be, so skip this often. When trying harder, look for all
// QR versions regardless of how dense they are.
int iSkip = (int) (maxI / (MAX_MODULES * 4.0f) * 3);
if (iSkip < MIN_SKIP || tryHarder) {
iSkip = MIN_SKIP;
}
int[] stateCount = new int[5];
for (int i = iSkip - 1; i < maxI; i += iSkip) {
// Get a row of black/white values
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
int currentState = 0;
for (int j = 0; j < maxJ; j++) {
if (image.get(j, i)) {
// Black pixel
if ((currentState & 1) == 1) { // Counting white pixels
currentState++;
}
stateCount[currentState]++;
} else { // White pixel
if ((currentState & 1) == 0) { // Counting black pixels
if (currentState == 4) { // A winner?
if (foundPatternCross(stateCount)) { // Yes
boolean confirmed = handlePossibleCenter(stateCount, i, j);
if (!confirmed) {
do { // Advance to next black pixel
j++;
} while (j < maxJ && !image.get(j, i));
j--; // back up to that last white pixel
}
// Clear state to start looking again
currentState = 0;
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
} else { // No, shift counts back by two
stateCount[0] = stateCount[2];
stateCount[1] = stateCount[3];
stateCount[2] = stateCount[4];
stateCount[3] = 1;
stateCount[4] = 0;
currentState = 3;
}
} else {
stateCount[++currentState]++;
}
} else { // Counting white pixels
stateCount[currentState]++;
}
}
} // for j=...
if (foundPatternCross(stateCount)) {
handlePossibleCenter(stateCount, i, maxJ);
} // end if foundPatternCross
} // for i=iSkip-1 ...
FinderPattern[][] patternInfo = selectBestPatterns();
Vector result = new Vector();
for (int i = 0; i < patternInfo.length; i++) {
FinderPattern[] pattern = patternInfo[i];
ResultPoint.orderBestPatterns(pattern);
result.addElement(new FinderPatternInfo(pattern));
}
if (result.isEmpty()) {
return EMPTY_RESULT_ARRAY;
} else {
FinderPatternInfo[] resultArray = new FinderPatternInfo[result.size()];
for (int i = 0; i < result.size(); i++) {
resultArray[i] = (FinderPatternInfo) result.elementAt(i);
}
return resultArray;
}
}
final FinderPatternInfo find(Map<DecodeHintType, ?> hints) throws NotFoundException {
boolean tryHarder = hints != null && hints.containsKey(DecodeHintType.TRY_HARDER);
int maxI = image.getHeight();
int maxJ = image.getWidth();
// We are looking for black/white/black/white/black modules in
// 1:1:3:1:1 ratio; this tracks the number of such modules seen so far
// Let's assume that the maximum version QR Code we support takes up 1/4 the height of the
// image, and then account for the center being 3 modules in size. This gives the smallest
// number of pixels the center could be, so skip this often. When trying harder, look for all
// QR versions regardless of how dense they are.
int iSkip = (3 * maxI) / (4 * MAX_MODULES);
if (iSkip < MIN_SKIP || tryHarder) {
iSkip = MIN_SKIP;
}
boolean done = false;
int[] stateCount = new int[5];
for (int i = iSkip - 1; i < maxI && !done; i += iSkip) {
// Get a row of black/white values
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
int currentState = 0;
for (int j = 0; j < maxJ; j++) {
if (image.get(j, i)) {
// Black pixel
if ((currentState & 1) == 1) { // Counting white pixels
currentState++;
}
stateCount[currentState]++;
} else { // White pixel
if ((currentState & 1) == 0) { // Counting black pixels
if (currentState == 4) { // A winner?
if (foundPatternCross(stateCount)) { // Yes
boolean confirmed = handlePossibleCenter(stateCount, i, j);
if (confirmed) {
// Start examining every other line. Checking each line turned out to be too
// expensive and didn't improve performance.
iSkip = 2;
if (hasSkipped) {
done = haveMultiplyConfirmedCenters();
} else {
int rowSkip = findRowSkip();
if (rowSkip > stateCount[2]) {
// Skip rows between row of lower confirmed center
// and top of presumed third confirmed center
// but back up a bit to get a full chance of detecting
// it, entire width of center of finder pattern
// Skip by rowSkip, but back off by stateCount[2] (size of last center
// of pattern we saw) to be conservative, and also back off by iSkip which
// is about to be re-added
i += rowSkip - stateCount[2] - iSkip;
j = maxJ - 1;
}
}
} else {
stateCount[0] = stateCount[2];
stateCount[1] = stateCount[3];
stateCount[2] = stateCount[4];
stateCount[3] = 1;
stateCount[4] = 0;
currentState = 3;
continue;
}
// Clear state to start looking again
currentState = 0;
stateCount[0] = 0;
stateCount[1] = 0;
stateCount[2] = 0;
stateCount[3] = 0;
stateCount[4] = 0;
} else { // No, shift counts back by two
stateCount[0] = stateCount[2];
stateCount[1] = stateCount[3];
stateCount[2] = stateCount[4];
stateCount[3] = 1;
stateCount[4] = 0;
currentState = 3;
}
} else {
stateCount[++currentState]++;
}
} else { // Counting white pixels
stateCount[currentState]++;
}
}
}
if (foundPatternCross(stateCount)) {
boolean confirmed = handlePossibleCenter(stateCount, i, maxJ);
if (confirmed) {
iSkip = stateCount[0];
if (hasSkipped) {
// Found a third one
done = haveMultiplyConfirmedCenters();
}
}
}
}
FinderPattern[] patternInfo = selectBestPatterns();
ResultPoint.orderBestPatterns(patternInfo);
return new FinderPatternInfo(patternInfo);
}
