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5 changed files with 4 additions and 19 deletions

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@ -24,7 +24,7 @@ import lombok.EqualsAndHashCode;
@EqualsAndHashCode(onlyExplicitlyIncluded = true, callSuper = false)
public class Line extends TextBoundingBox {
private static final double WORD_DISTANCE_MULTIPLIER = 0.17;
private static final double WORD_DISTANCE_MULTIPLIER = 0.18;
@EqualsAndHashCode.Include
private final double x0;
@ -157,9 +157,6 @@ public class Line extends TextBoundingBox {
private void computeWords(List<Character> characters, double wordSpacing) {
// Imo, the width of space should be scaled with the font size, but it only depends on the median distance between horizontal neighbours.
// If there are large differences in fontsize on a page, this might lead to missing spaces for the smaller fonts and too many for larger fonts.
// I've just now changed the scaling factor. If you come across this comment with missing whitespaces again, try scaling the fontsize instead of simply changing the factor again.
Word word = new Word();
Character previous = null;
for (Character current : characters) {

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@ -18,14 +18,10 @@ public class ClassificationPatterns {
public static final Pattern TABLE_OR_FIGURE_HEADLINE_PATTERN = Pattern.compile(
public static final Pattern TABLE_OR_FIGURE_PATTERN = Pattern.compile(
"^\\s*(?:table|continued\\s+table|appendix|figure)\\s+(?:[xvi]+|[a-z0-9]{1,3}(?:\\.[0-9]{1,3})*(?:-[0-9]{1,3})?)\\b",
Pattern.CASE_INSENSITIVE);
public static final Pattern TABLE_MID_SENTENCE_PATTERN = Pattern.compile(
"(?:table|continued\\s+table|appendix|figure)\\s+(?:[xvi]+|[a-z0-9]{1,3}(?:\\.[0-9]{1,3})*(?:-[0-9]{1,3})?)\\b",
Pattern.CASE_INSENSITIVE);
public static final Pattern ALPHANUMERIC = Pattern.compile("[a-zA-Z0-9]");
public static final Pattern NUMERIC = Pattern.compile("[0-9]+");

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@ -6,8 +6,7 @@ import static com.knecon.fforesight.service.layoutparser.processor.services.clas
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.HEADLINE_PATTERN_WITH_SLASHES;
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.HEADLINE_WITH_2_IDENTIFER_PATTERN;
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.HEADLINE_WITH_SINGLE_IDENTIFER_PATTERN;
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.TABLE_MID_SENTENCE_PATTERN;
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.TABLE_OR_FIGURE_HEADLINE_PATTERN;
import static com.knecon.fforesight.service.layoutparser.processor.services.classification.ClassificationPatterns.TABLE_OR_FIGURE_PATTERN;
import java.util.ArrayList;
import java.util.Comparator;
@ -84,8 +83,7 @@ public class DocuMineClassificationService {
Matcher atLeast3Matcher = AT_LEAST_3_CHARS_PATTERN.matcher(textBlock.toString());
Matcher headlineWithSlashesMatcher = HEADLINE_PATTERN_WITH_SLASHES.matcher(textBlock.toString());
Matcher amountMatcher = AMOUNT_PATTERN.matcher(textBlock.toString());
Matcher tableOrFigureMatcher = TABLE_OR_FIGURE_HEADLINE_PATTERN.matcher(textBlock.toString());
Matcher tableMidSentenceMatcher = TABLE_MID_SENTENCE_PATTERN.matcher(textBlock.toString());
Matcher tableOrFigureMatcher = TABLE_OR_FIGURE_PATTERN.matcher(textBlock.toString());
Matcher headlineWithSingleIdentifierMatcher = HEADLINE_WITH_SINGLE_IDENTIFER_PATTERN.matcher(textBlock.toString());
boolean isAtLeast3Characters = atLeast3Matcher.reset().find();
boolean headlineWithSlashesMatches = headlineWithSlashesMatcher.reset().matches();
@ -150,8 +148,6 @@ public class DocuMineClassificationService {
&& greaterOrEqualFontThanPageAverage(textBlock, page)//
&& PositionUtils.getApproxLineCount(textBlock) < 2.9//
&& (tableOrFigureMatcher.reset().find() || (headlineWithSingleIdentifierMatcher.reset().find() && listIdentifiers.isEmpty())) //
&& tableMidSentenceMatcher.reset().results()
.count() <= 1 //
&& !isAmount//
&& !headlineWithSlashesMatches) {

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@ -71,9 +71,6 @@ public class TableOfContentsClassificationService {
private int identifyTOCItems(int start, List<TextBlockOnPage> textBlocks, ClassificationDocument document) {
if (start >= textBlocks.size()) {
return start;
}
ClassificationPage startPage = textBlocks.get(start).page();
List<TextBlockOnPage> initialLookAhead = textBlocks.subList(start, Math.min(start + SURROUNDING_BLOCKS_RADIUS, textBlocks.size()));
HashMap<NumberWord, TextBlockOnPage> numberToBlockLookup = new HashMap<>();

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@ -39,7 +39,6 @@ dependencies {
implementation("org.springframework.cloud:spring-cloud-starter-openfeign:4.0.4")
implementation("net.logstash.logback:logstash-logback-encoder:7.4")
implementation("ch.qos.logback:logback-classic")
api("com.iqser.red.commons:metric-commons:2.3.0")
implementation("com.pdftron:PDFNet:10.11.0")