Handwritten word spotting in old manuscript images using a pseudo-structural descriptor organized in a hash structure

Authors:
David Fernández;Josep Lladós;Alicia Fornés
Affiliations:
Dept. Ciències de la Computació, Universitat Autònoma de Barcelona;Dept. Ciències de la Computació, Universitat Autònoma de Barcelona;Dept. Ciències de la Computació, Universitat Autònoma de Barcelona
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

Citing 5
Cited 2

A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents

IEEE Transactions on Pattern Analysis and Machine Intelligence
Word spotting for historical documents

International Journal on Document Analysis and Recognition
A pictorial dictionary for printed Farsi subwords

Pattern Recognition Letters
Handwritten document image segmentation into text lines and words

Pattern Recognition
Off-line handwritten word recognition using multi-stream hidden Markov models

Pattern Recognition Letters

Contextual word spotting in historical manuscripts using Markov logic networks

Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Boosting the handwritten word spotting experience by including the user in the loop

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

There are lots of historical handwritten documents with information that can be used for several studies and projects. The Document Image Analysis and Recognition community is interested in preserving these documents and extracting all the valuable information from them. Handwritten word-spotting is the pattern classification task which consists in detecting handwriting word images. In this work, we have used a query-by-example formalism: we have matched an input image with one or multiple images from handwritten documents to determine the distance that might indicate a correspondence. We have developed an approach based in characteristic Loci Features stored in a hash structure. Document images of the marriage licences of the Cathedral of Barcelona are used as the benchmarking database.