Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael and Hoque, Sanaul and Paschalakis, Stavros (2000) Novel multiple-stage approach to the recognition of handwritten words extracted from British cheques. IEE Proceedings: Vision, Image, and Signal Processing, 147 (4). pp. 340-347. ISSN 1350-245X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
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.
|Additional information:||7th IEE Conference on Image Processing and its Applications (IPA99) UNIV MANCHESTER, MANCHESTER, ENGLAND, JUL, 1999 IEE|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts|
|Depositing User:||A. Xie|
|Date Deposited:||29 Aug 2009 20:37|
|Last Modified:||19 May 2014 10:55|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/16539 (The current URI for this page, for reference purposes)|