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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Online Character Recognition Using Eigen-Deformations
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Hiroto Mitoma, Kyushu University
Seiichi Uchida, Kyushu University
Hiroaki Sakoe, Kyushu University
In online character recognition based on elastic matching, such as dynamic programming matching, many of mis-recognitions are often caused by overfitting, which is the phenomenon that the distance between reference pattern of an incorrect category and an input pattern is under-estimated by unnatural matching. In this paper, a new recognition technique is proposed where category-specific deformations, called eigen-deformations, are utilized to suppress those misrecognitions. Generally, matching results at overfitting are not consistent with the eigen-deformations. Thus, the overfitting can be detected and penalized by a posterior evaluation of this inconsistency. The result of a recognition experiment showed the usefulness of the proposed technique.
Citation:
Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe, "Online Character Recognition Using Eigen-Deformations," iwfhr, pp.3-8, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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