mirror of
https://github.com/UglyToad/PdfPig.git
synced 2026-03-10 00:23:29 +08:00
Add headers/footers (decoration) classifier for TextBlock
This commit is contained in:
@@ -0,0 +1,267 @@
|
||||
using System;
|
||||
using System.Collections.Concurrent;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Threading.Tasks;
|
||||
using UglyToad.PdfPig.Content;
|
||||
using UglyToad.PdfPig.Geometry;
|
||||
using UglyToad.PdfPig.Util;
|
||||
|
||||
namespace UglyToad.PdfPig.DocumentLayoutAnalysis
|
||||
{
|
||||
/// <summary>
|
||||
/// Algorithm that retrieve blocks that are labelled as decoration (e.g. headers, footers) for each page in the document, using a content and a geometric similarity measure.
|
||||
/// <para>Decoration blocks are blocks that contains information such as author names, publication titles, page numbers, etc.
|
||||
/// They are printed repeatedly at the border of each page, usually placed inside headers or footers, but sometimes also at the
|
||||
/// left or right edge of the page.</para>
|
||||
/// <para>See section 5.1 of 'Unsupervised document structure analysis of digital scientific articles' by S. Klampfl, M. Granitzer, K. Jack, R. Kern.</para>
|
||||
/// </summary>
|
||||
public static class DecorationTextBlockClassifier
|
||||
{
|
||||
private static System.Text.RegularExpressions.Regex numbersPattern = new System.Text.RegularExpressions.Regex(@"\d"); // TODO: add roman numbers pattern
|
||||
private static string replacementChar = "@";
|
||||
|
||||
/// <summary>
|
||||
/// Get blocks that are labelled as decoration for each page in the document, using a content and a geometric similarity measure.
|
||||
/// <para>Decoration blocks are blocks that contains information such as author names, publication titles, page numbers, etc.
|
||||
/// They are printed repeatedly at the border of each page, usually placed inside headers or footers, but sometimes also at the
|
||||
/// left or right edge of the page.</para>
|
||||
/// </summary>
|
||||
/// <param name="pages">The <see cref="Page"/>s in the document. All of them are needed for the algorithm to work.</param>
|
||||
/// <param name="wordExtractor"></param>
|
||||
/// <param name="pageSegmenter"></param>
|
||||
/// <param name="similarityThreshold">Minimum similarity score to decide wether a block is labelled as decoration or not.</param>
|
||||
/// <param name="n">Number of blocks in a page to be considered when looking for decoration blocks.</param>
|
||||
/// <param name="maxDegreeOfParallelism">Sets the maximum number of concurrent tasks enabled.
|
||||
/// <para>A positive property value limits the number of concurrent operations to the set value.
|
||||
/// If it is -1, there is no limit on the number of concurrently running operations.</para></param>
|
||||
public static IReadOnlyList<IReadOnlyList<TextBlock>> Get(IReadOnlyList<Page> pages,
|
||||
IWordExtractor wordExtractor, IPageSegmenter pageSegmenter,
|
||||
double similarityThreshold = 0.25, int n = 5, int maxDegreeOfParallelism = -1)
|
||||
{
|
||||
if (pages.Count < 2)
|
||||
{
|
||||
throw new ArgumentException("The algorithm cannot be used with a document of less than 2 pages.", nameof(pages));
|
||||
}
|
||||
|
||||
ConcurrentDictionary<int, IReadOnlyList<TextBlock>> pagesBlocks = new ConcurrentDictionary<int, IReadOnlyList<TextBlock>>();
|
||||
|
||||
ParallelOptions parallelOptions = new ParallelOptions() { MaxDegreeOfParallelism = maxDegreeOfParallelism };
|
||||
|
||||
Parallel.For(0, pages.Count(), parallelOptions, p =>
|
||||
{
|
||||
var words = pages[p].GetWords(wordExtractor);
|
||||
var blocks = pageSegmenter.GetBlocks(words);
|
||||
if (!pagesBlocks.TryAdd(p, blocks))
|
||||
{
|
||||
throw new ArgumentException("Cannot add element with index " + p + " in ConcurrentDictionary.");
|
||||
}
|
||||
});
|
||||
|
||||
return Get(pagesBlocks.OrderBy(x => x.Key).Select(x => x.Value).ToList(),
|
||||
similarityThreshold,
|
||||
n,
|
||||
maxDegreeOfParallelism);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Get blocks that are labelled as decoration for each page in the document, using a content and a geometric similarity measure.
|
||||
/// <para>Decoration blocks are blocks that contains information such as author names, publication titles, page numbers, etc.
|
||||
/// They are printed repeatedly at the border of each page, usually placed inside headers or footers, but sometimes also at the
|
||||
/// left or right edge of the page.</para>
|
||||
/// </summary>
|
||||
/// <param name="pagesTextBlocks">The <see cref="TextBlock"/>s of every pages in the document. All of them are needed for the algorithm to work.</param>
|
||||
/// <param name="similarityThreshold">Minimum similarity score to decide wether a block is labelled as decoration or not.</param>
|
||||
/// <param name="n">Number of blocks in a page to be considered when looking for decoration blocks.</param>
|
||||
/// <param name="maxDegreeOfParallelism">Sets the maximum number of concurrent tasks enabled.
|
||||
/// <para>A positive property value limits the number of concurrent operations to the set value.
|
||||
/// If it is -1, there is no limit on the number of concurrently running operations.</para></param>
|
||||
public static IReadOnlyList<IReadOnlyList<TextBlock>> Get(IReadOnlyList<IReadOnlyList<TextBlock>> pagesTextBlocks,
|
||||
double similarityThreshold = 0.25, int n = 5, int maxDegreeOfParallelism = -1)
|
||||
{
|
||||
if (pagesTextBlocks.Count < 2)
|
||||
{
|
||||
throw new ArgumentException("The algorithm cannot be used with a document of less than 2 pages.", nameof(pagesTextBlocks));
|
||||
}
|
||||
|
||||
ConcurrentDictionary<int, List<TextBlock>> pageDecorations = new ConcurrentDictionary<int, List<TextBlock>>();
|
||||
|
||||
ParallelOptions parallelOptions = new ParallelOptions() { MaxDegreeOfParallelism = maxDegreeOfParallelism };
|
||||
|
||||
Parallel.For(0, pagesTextBlocks.Count, parallelOptions, p =>
|
||||
{
|
||||
if (!pageDecorations.TryAdd(p, new List<TextBlock>()))
|
||||
{
|
||||
throw new ArgumentException("Cannot add element with index " + p + " in ConcurrentDictionary.");
|
||||
}
|
||||
|
||||
int pMinus1 = GetPreviousPageNumber(p, pagesTextBlocks.Count);
|
||||
int pPlus1 = GetNextPageNumber(p, pagesTextBlocks.Count);
|
||||
|
||||
var previousPage = pagesTextBlocks[pMinus1];
|
||||
var currentPage = pagesTextBlocks[p];
|
||||
var nextPage = pagesTextBlocks[pPlus1];
|
||||
|
||||
int nCurrent = Math.Min(n, currentPage.Count);
|
||||
|
||||
// First, for each page, we sort all blocks on the page in four different orders:
|
||||
// - from top to bottom (based on the minimum y coordinate),
|
||||
// - from bottom to top (maximum y coordinate),
|
||||
// - from left to right (minimum x coordinate),
|
||||
// - from right to left (maximumx coordinate).
|
||||
|
||||
// From top to bottom (based on the minimum y coordinate)
|
||||
previousPage = previousPage.OrderByDescending(b => b.BoundingBox.Bottom).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
currentPage = currentPage.OrderByDescending(b => b.BoundingBox.Bottom).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
nextPage = nextPage.OrderByDescending(b => b.BoundingBox.Bottom).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
|
||||
for (int i = 0; i < nCurrent; i++)
|
||||
{
|
||||
var current = currentPage[i];
|
||||
var score = Score(current, previousPage, nextPage, similarityThreshold, n);
|
||||
if (score >= similarityThreshold)
|
||||
{
|
||||
if (!pageDecorations[p].Contains(current)) pageDecorations[p].Add(current);
|
||||
}
|
||||
}
|
||||
|
||||
// From bottom to top (maximum y coordinate)
|
||||
previousPage = previousPage.OrderBy(b => b.BoundingBox.Top).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
currentPage = currentPage.OrderBy(b => b.BoundingBox.Top).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
nextPage = nextPage.OrderBy(b => b.BoundingBox.Top).ThenBy(b => b.BoundingBox.Left).ToList();
|
||||
|
||||
for (int i = 0; i < nCurrent; i++)
|
||||
{
|
||||
var current = currentPage[i];
|
||||
var score = Score(current, previousPage, nextPage, similarityThreshold, n);
|
||||
if (score >= similarityThreshold)
|
||||
{
|
||||
if (!pageDecorations[p].Contains(current)) pageDecorations[p].Add(current);
|
||||
}
|
||||
}
|
||||
|
||||
// From left to right (minimum x coordinate)
|
||||
previousPage = previousPage.OrderBy(b => b.BoundingBox.Left).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
currentPage = currentPage.OrderBy(b => b.BoundingBox.Left).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
nextPage = nextPage.OrderBy(b => b.BoundingBox.Left).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
|
||||
for (int i = 0; i < nCurrent; i++)
|
||||
{
|
||||
var current = currentPage[i];
|
||||
var score = Score(current, previousPage, nextPage, similarityThreshold, n);
|
||||
if (score >= similarityThreshold)
|
||||
{
|
||||
if (!pageDecorations[p].Contains(current)) pageDecorations[p].Add(current);
|
||||
}
|
||||
}
|
||||
|
||||
// From right to left (maximumx coordinate)
|
||||
previousPage = previousPage.OrderByDescending(b => b.BoundingBox.Right).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
currentPage = currentPage.OrderByDescending(b => b.BoundingBox.Right).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
nextPage = nextPage.OrderByDescending(b => b.BoundingBox.Right).ThenBy(b => b.BoundingBox.Top).ToList();
|
||||
|
||||
for (int i = 0; i < nCurrent; i++)
|
||||
{
|
||||
var current = currentPage[i];
|
||||
var score = Score(current, previousPage, nextPage, similarityThreshold, n);
|
||||
if (score >= similarityThreshold)
|
||||
{
|
||||
if (!pageDecorations[p].Contains(current)) pageDecorations[p].Add(current);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return pageDecorations.OrderBy(x => x.Key).Select(x => x.Value).ToList();
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// [The content similarity] is calculated from the normalized edit
|
||||
/// distance between the two content strings, where digits are replaced with “@” chars.
|
||||
/// A content similarity of 1 is reached when both strings are exactly equal.
|
||||
/// </summary>
|
||||
private static double ContentSimilarity(TextBlock b1, TextBlock b2)
|
||||
{
|
||||
double similarity = 1.0 - Distances.MinimumEditDistanceNormalised(
|
||||
numbersPattern.Replace(b1.Text, replacementChar),
|
||||
numbersPattern.Replace(b2.Text, replacementChar));
|
||||
|
||||
return similarity;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// The geometric similarity is the area of the intersection between the two boundingbox rectangles divided by the larger of the two boundingboxes.
|
||||
/// </summary>
|
||||
private static double GeomSimilarity(TextBlock b1, TextBlock b2)
|
||||
{
|
||||
double similarity = 0;
|
||||
var intersect = b1.BoundingBox.Intersect(b2.BoundingBox);
|
||||
if (intersect.HasValue)
|
||||
{
|
||||
similarity = intersect.Value.Area / Math.Max(b1.BoundingBox.Area, b2.BoundingBox.Area);
|
||||
}
|
||||
|
||||
return similarity;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// This similarity score is a value in the range [0,1] and given
|
||||
/// by the product between the content and the geometric similarity.
|
||||
/// </summary>
|
||||
private static double Similarity(TextBlock b1, TextBlock b2)
|
||||
{
|
||||
return ContentSimilarity(b1, b2) * GeomSimilarity(b1, b2);
|
||||
}
|
||||
|
||||
private static double ScoreI(TextBlock current, TextBlock previous, TextBlock next)
|
||||
{
|
||||
return 0.5 * (Similarity(current, next) + Similarity(current, previous));
|
||||
}
|
||||
|
||||
private static double Score(TextBlock current, IReadOnlyList<TextBlock> previous, IReadOnlyList<TextBlock> next,
|
||||
double threshold, int n)
|
||||
{
|
||||
n = Math.Min(n, Math.Min(previous.Count, next.Count));
|
||||
double score = 0;
|
||||
|
||||
for (int i = 0; i < n; i++)
|
||||
{
|
||||
var s = ScoreI(current, previous[i], next[i]);
|
||||
if (s > score) score = s;
|
||||
if (score >= threshold) return score;
|
||||
}
|
||||
return score;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// If the document has more than three pages, we compare blocks on the next or previous page with an even or odd number,
|
||||
/// depending on whether the current page number is even or odd, to account for cases with a two-sided layout.
|
||||
/// </summary>
|
||||
/// <param name="currentPage">Current page number.</param>
|
||||
/// <param name="pagesCount">Total number of pages in the document.</param>
|
||||
private static int GetPreviousPageNumber(int currentPage, int pagesCount)
|
||||
{
|
||||
int pMinus1 = currentPage - 1 >= 0 ? currentPage - 1 : pagesCount - 1;
|
||||
if (pagesCount > 3)
|
||||
{
|
||||
pMinus1 = pMinus1 - 1 >= 0 ? pMinus1 - 1 : pagesCount - 1;
|
||||
}
|
||||
return pMinus1;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// If the document has more than three pages, we compare blocks on the next or previous page with an even or odd number,
|
||||
/// depending on whether the current page number is even or odd, to account for cases with a two-sided layout.
|
||||
/// </summary>
|
||||
/// <param name="currentPage">Current page number.</param>
|
||||
/// <param name="pagesCount">Total number of pages in the document.</param>
|
||||
private static int GetNextPageNumber(int currentPage, int pagesCount)
|
||||
{
|
||||
int pPlus1 = currentPage + 1 < pagesCount ? currentPage + 1 : 0;
|
||||
if (pagesCount > 3)
|
||||
{
|
||||
pPlus1 = pPlus1 + 1 < pagesCount ? pPlus1 + 1 : 0;
|
||||
}
|
||||
return pPlus1;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -80,6 +80,50 @@ namespace UglyToad.PdfPig.DocumentLayoutAnalysis
|
||||
return Math.Abs(point2.X - point1.X);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Get the minimum edit distance between two strings.
|
||||
/// </summary>
|
||||
/// <param name="string1">The first string.</param>
|
||||
/// <param name="string2">The second string.</param>
|
||||
/// <returns></returns>
|
||||
public static int MinimumEditDistance(string string1, string string2)
|
||||
{
|
||||
int[,] d = new int[string1.Length + 1, string2.Length + 1];
|
||||
|
||||
for (int i = 1; i <= string1.Length; i++)
|
||||
{
|
||||
d[i, 0] = i;
|
||||
}
|
||||
|
||||
for (int j = 1; j <= string2.Length; j++)
|
||||
{
|
||||
d[0, j] = j;
|
||||
}
|
||||
|
||||
for (int j = 1; j <= string2.Length; j++)
|
||||
{
|
||||
for (int i = 1; i <= string1.Length; i++)
|
||||
{
|
||||
d[i, j] = Math.Min(Math.Min(
|
||||
d[i - 1, j] + 1,
|
||||
d[i, j - 1] + 1),
|
||||
d[i - 1, j - 1] + (string1[i - 1] == string2[j - 1] ? 0 : 1)); // substitution, set cost to 1
|
||||
}
|
||||
}
|
||||
return d[string1.Length, string2.Length];
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Get the minimum edit distance between two strings.
|
||||
/// <para>Returned values are between 0 and 1 included. A value of 0 means that the two strings are indentical.</para>
|
||||
/// </summary>
|
||||
/// <param name="string1">The first string.</param>
|
||||
/// <param name="string2">The second string.</param>
|
||||
public static double MinimumEditDistanceNormalised(string string1, string string2)
|
||||
{
|
||||
return MinimumEditDistance(string1, string2) / (double)Math.Max(string1.Length, string2.Length);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Find the index of the nearest point, excluding itself.
|
||||
/// </summary>
|
||||
|
||||
Reference in New Issue
Block a user