Automatic extraction of human-recognizable shape and execution prototypes of handwritten characters

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摘要

The novel prototype extraction method presented in this paper aims to advancing in the comprehension of handwriting generation and improving on-line recognition systems. The extraction process is performed in two stages. First, using Fuzzy ARTMAP we group character instances according to classification criteria. Then, an algorithm refines these groups and computes the prototypes. Experimental results on the UNIPEN international database show that the proposed system is able to extract a low number of prototypes that are easily recognizable. In addition, the extraction method is able to condense knowledge that can be successfully used to initialize an LVQ-based recognizer, achieving an average recognition rate of 90.15%, comparable to that reached by human readers.

论文关键词:Prototype extraction,Allograph,Execution plan,Handwriting recognition,Fuzzy ARTMAP,LVQ

论文评审过程:Received 15 November 2001, Revised 1 July 2002, Accepted 6 August 2002, Available online 28 March 2003.

论文官网地址:https://doi.org/10.1016/S0031-3203(02)00259-5