A Novel Scheme for Implementation of the Scanning nTuple Classifier in a Constrained Environment

Hoque, Sanaul and Fairhurst, Michael (2006) A Novel Scheme for Implementation of the Scanning nTuple Classifier in a Constrained Environment. In: Proc. 10th International Workshop on Frontiers in Handwriting Recognition (IWFRH), 2006 October, La Baule, France. (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)

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The scanning ntuple classifier is an efficient and accurate classifier for handwriting recognition. One of the major difficulties in implementing this scheme is its demand for a very large memory space, thus making it unsuitable for resource constrained systems such as embedded applications. This paper proposes some modifications to the basic sntuple algorithm which eliminates the necessity of normalizing the chain-code length, by adjusting the memory cell increments as an inverse function the chain length. The resulting system performance is shown to be superior to the standard sntuple configuration in both speed and accuracy when smaller and fewer sntuples are used, a configuration which also reduces the demand for memory.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Sntuple – handwriting analysis – OCR
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications), > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.P3 Pattern Recognition
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 15 Aug 2009 11:09
Last Modified: 19 May 2014 11:19
Resource URI: https://kar.kent.ac.uk/id/eprint/9079 (The current URI for this page, for reference purposes)
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