Online character recognition using eigen-deformations

Hiroto Mitoma; Seiichi Uchida; Hiroaki Sakoe

doi:10.1109/IWFHR.2004.79

Online character recognition using eigen-deformations

Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe

Real world robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

In online character recognition based on elastic matching, such as dynamic programming matching, many of misrecognitions are often caused by overfitting, which is the phenomenon that the distance between reference pattern of an incorrect category and an input pattern is underestimated 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.

Original language	English
Title of host publication	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004
Editors	F. Kimura, H. Fujisawa
Pages	3-8
Number of pages	6
DOIs	https://doi.org/10.1109/IWFHR.2004.79
Publication status	Published - Dec 1 2004
Event	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 - Tokyo, Japan Duration: Oct 26 2004 → Oct 29 2004

Publication series

Name	Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
ISSN (Print)	1550-5235

Other

Other	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004
Country/Territory	Japan
City	Tokyo
Period	10/26/04 → 10/29/04

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1109/IWFHR.2004.79

Cite this

Online character recognition using eigen-deformations. / Mitoma, Hiroto; Uchida, Seiichi; Sakoe, Hiroaki.

Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004. ed. / F. Kimura; H. Fujisawa. 2004. p. 3-8 (Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mitoma, H, Uchida, S & Sakoe, H 2004, Online character recognition using eigen-deformations. in F Kimura & H Fujisawa (eds), Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004. Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR, pp. 3-8, Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004, Tokyo, Japan, 10/26/04. https://doi.org/10.1109/IWFHR.2004.79

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title = "Online character recognition using eigen-deformations",

abstract = "In online character recognition based on elastic matching, such as dynamic programming matching, many of misrecognitions are often caused by overfitting, which is the phenomenon that the distance between reference pattern of an incorrect category and an input pattern is underestimated 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.",

author = "Hiroto Mitoma and Seiichi Uchida and Hiroaki Sakoe",

year = "2004",

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booktitle = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004",

note = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 ; Conference date: 26-10-2004 Through 29-10-2004",

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AU - Mitoma, Hiroto

AU - Uchida, Seiichi

AU - Sakoe, Hiroaki

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N2 - In online character recognition based on elastic matching, such as dynamic programming matching, many of misrecognitions are often caused by overfitting, which is the phenomenon that the distance between reference pattern of an incorrect category and an input pattern is underestimated 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.

AB - In online character recognition based on elastic matching, such as dynamic programming matching, many of misrecognitions are often caused by overfitting, which is the phenomenon that the distance between reference pattern of an incorrect category and an input pattern is underestimated 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.

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BT - Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004

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ER -

Online character recognition using eigen-deformations

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