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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15742
Title: Date field extraction in handwritten documents
Authors: Mandal R.
Pratim Roy, Partha
Pal U.
Published in: Proceedings of International Conference on Pattern Recognition
Abstract: Automatic extraction of date patterns from handwritten document involves difficult challenges due to writing styles of different individuals, touching characters and confusion among identification of alphabets and digits. In this paper, we propose a framework for retrieval of date patterns from handwritten documents. The method first classifies word components of each text line into month and non-month class using word level feature. Next, non-month words are segmented into individual components and classified into one of alphabet, digit or punctuation. Using this information of word and character level components, the date patterns are searched first using voting approach and then we detect the candidate lines for numeric and semi-numeric date using regular expression. Gradient based features and Support Vector Machine (SVM) are used in our work for classification. The experiment is performed on handwritten dataset and we have obtained encouraging results from it. © 2012 ICPR Org Committee.
Citation: Proceedings of International Conference on Pattern Recognition, (2012), 533- 536. Tsukuba
URI: http://repository.iitr.ac.in/handle/123456789/15742
Issue Date: 2012
Keywords: Automatic extraction
Gradient based feature
Handwritten dataset
Handwritten document
Individual components
Regular expressions
Text lines
Touching character
Voting approach
Word and characters
Word components
Word level
Writing style
Pattern matching
Support vector machines
Extraction
ISBN: 9.78499E+12
ISSN: 10514651
Author Scopus IDs: 54410932900
56880478500
57200742116
Author Affiliations: Mandal, R., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India
Roy, P.P., Laboratoire d'Informatique, Université François Rabelais, Tours, France
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India
Corresponding Author: Mandal, R.; Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India; email: ranjumandal@gmail.com
Appears in Collections:Conference Publications [CS]

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