Lexicon-free handwritten word spotting using character HMMs

Authors:
Andreas Fischer;Andreas Keller;Volkmar Frinken;Horst Bunke
Affiliations:
University of Bern, Institute of Computer Science and Applied Mathematics, Neubrückstrasse 10, 3012 Bern, Switzerland;University of Bern, Institute of Computer Science and Applied Mathematics, Neubrückstrasse 10, 3012 Bern, Switzerland;University of Bern, Institute of Computer Science and Applied Mathematics, Neubrückstrasse 10, 3012 Bern, Switzerland;University of Bern, Institute of Computer Science and Applied Mathematics, Neubrückstrasse 10, 3012 Bern, Switzerland
Venue:
Pattern Recognition Letters
Year:
2012

Citing 27
Cited 7

Word spotting: indexing handwritten manuscripts

Intelligent multimedia information retrieval
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Statistical Approach for Phrase Location and Recognition within a Text Line: An Application to Street Name Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Word Spotting: A New Approach to Indexing Handwriting

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Holistic Word Recognition for Handwritten Historical Documents

DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
A search engine for historical manuscript images

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents

IEEE Transactions on Pattern Analysis and Machine Intelligence
The SMART Retrieval System—Experiments in Automatic Document Processing

The SMART Retrieval System—Experiments in Automatic Document Processing
Interactive Document Processing and Digital Libraries

DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Searching Off-line Arabic Documents

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Word matching using single closed contours for indexing handwritten historical documents

International Journal on Document Analysis and Recognition
Word spotting for historical documents

International Journal on Document Analysis and Recognition
Special issue on the analysis of historical documents

International Journal on Document Analysis and Recognition
Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM

ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Towards an omnilingual word retrieval system for ancient manuscripts

Pattern Recognition
Handwritten word-spotting using hidden Markov models and universal vocabularies

Pattern Recognition
Fisher Kernels for Handwritten Word-spotting

ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Slit Style HOG Feature for Document Image Word Spotting

ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Markov models for offline handwriting recognition: a survey

International Journal on Document Analysis and Recognition
Automatic Transcription of Handwritten Medieval Documents

VSMM '09 Proceedings of the 2009 15th International Conference on Virtual Systems and Multimedia
Ground truth creation for handwriting recognition in historical documents

DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
An Information Extraction Model for Unconstrained Handwritten Documents

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
HMM-based Word Spotting in Handwritten Documents Using Subword Models

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Graph Similarity Features for HMM-Based Handwriting Recognition in Historical Documents

ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Word spotting in scanned images using hidden Markov models

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
A novel word spotting algorithm using bidirectional long short-term memory neural networks

ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition

The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

Pattern Recognition
Feature space denoising improves word spotting

Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Generation of learning samples for historical handwriting recognition using image degradation

Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Learning-based word spotting system for Arabic handwritten documents

Pattern Recognition
Boosting the handwritten word spotting experience by including the user in the loop

Pattern Recognition
Keyword spotting for self-training of BLSTM NN based handwriting recognition systems

Pattern Recognition
Keyword spotting in unconstrained handwritten Chinese documents using contextual word model

Image and Vision Computing

Quantified Score

Hi-index	0.10

Visualization

Abstract

For retrieving keywords from scanned handwritten documents, we present a word spotting system that is based on character Hidden Markov Models. In an efficient lexicon-free approach, arbitrary keywords can be spotted without pre-segmenting text lines into words. For a multi-writer scenario on the IAM off-line database as well as for two single writer scenarios on historical data sets, it is shown that the proposed learning-based system outperforms a standard template matching method.