By Topic

Novel multiple-stage approach to the recognition of handwritten words extracted from British cheques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
A. F. R. Rahman ; Electron. Eng. Labs., Kent Univ., Canterbury, UK ; M. C. Fairhurst ; S. Hoque ; S. Paschalakis

A novel multiple-stage approach to the recognition of handwritten words is presented, and its characteristics investigated using a database of words extracted from British cheques. In terms of both recognition performance and pattern throughput the proposed approach offers great flexibility in adapting to various operating constraints, allowing optimisation with respect to differing task requirements. It is demonstrated that this multiple-stage technique can enhance recognition accuracy in comparison with the performance of the component stages. In addition, this multiple-stage approach delivers higher throughput than that achievable by the individual stages working alone. The proposed system is therefore shown to combine high recognition rate with high throughput, a combination well suited to many practical applications

Published in:

IEE Proceedings - Vision, Image and Signal Processing  (Volume:147 ,  Issue: 4 )