NDLI: Recognition of legal amounts on bank cheques

Content Provider	Springer Nature Link
Author	Guillevic, D. Suen, C. Y.
Copyright Year	1998
Abstract	This article describes the recognition of legal amounts of a bank cheque processing system developed at CENPARMI. The preprocessing, sentence to word segmentation and word recognition approaches are presented along with some critical reviews. The overall engine is a combination of a global feature scheme with an HMM module. The global features consist of the encoding of the relative position of the ascenders, descenders and loops within a word. The HMM uses one feature set based on the orientation of contour points as well as their distance to the baselines. Our system is fully trainable, reducing to a strict minimum the number of hand-set parameters. The system is also modular and independent of specific languages as we have to deal with at least two languages in Canada, namely English and French. The system can be easily adapted to read other European languages based on the Roman alphabet. The system is continuously tested on data from the local phone company, and we report here the results on a balanced French database of approximately 2000 cheques with specified amounts.
Starting Page	28
Ending Page	41
Page Count	14
File Format	PDF
ISSN	14337541
Journal	Pattern Analysis & Applications
Volume Number	1
Issue Number	1
e-ISSN	1433755X
Language	English
Publisher	Springer-Verlag
Publisher Date	1998-01-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bank cheque processing Cursive scripts Unconstrained handwriting recognition Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition

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