A Handwritten Character Recognition System by Efficient Combination of Multiple Classifiers

Hideaki YAMAGATA; Hirobumi NISHIDA; Toshihiro SUZUKI; Michiyoshi TACHIKAWA; Yu NAKAJIMA; Gen SATO

A Handwritten Character Recognition System by Efficient Combination of Multiple Classifiers

Hideaki YAMAGATA, Hirobumi NISHIDA, Toshihiro SUZUKI, Michiyoshi TACHIKAWA, Yu NAKAJIMA, Gen SATO

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Handwritten character recognition has been increasing its importance and has been expanding its application areas such as office automation, postal service automation, automatic data entry to computers, etc. It is challenging to develop a handwritten character recognition system with high processing speed, high performance, and high portability, because there is a trade-off among them. In current technology, it is difficult to attain high performance and high processing speed at the same time with single algorithms, and therefore, we need to find an efficient way of combination of multiple algorithms. We present an engineering solution to this problem. The system is based on multi-stage strategy as a whole: The first stage is a simple, fast, and reliable recognition algorithm with low substitution-error rate, and data of high quality are recognized in this stage, whereas sloppily written or degraded data are rejected and sent out to the second stage. The second stage is composed of a sophisticated structural pattern classifier and a pattern matching classifier, and these two complementary algorithms run in parallel (multiple expert approach). We demonstrate the performance of the completed system by experiments using real data.

Publication: IEICE TRANSACTIONS on Information Vol.E79-D No.5 pp.498-503

Publication Date: 1996/05/25

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Type of Manuscript: Special Section PAPER (Special Issue on Character Recognition and Document Understanding)

Category: Classification Methods

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Hideaki YAMAGATA, Hirobumi NISHIDA, Toshihiro SUZUKI, Michiyoshi TACHIKAWA, Yu NAKAJIMA, Gen SATO, "A Handwritten Character Recognition System by Efficient Combination of Multiple Classifiers" in IEICE TRANSACTIONS on Information, vol. E79-D, no. 5, pp. 498-503, May 1996, doi: .
Abstract: Handwritten character recognition has been increasing its importance and has been expanding its application areas such as office automation, postal service automation, automatic data entry to computers, etc. It is challenging to develop a handwritten character recognition system with high processing speed, high performance, and high portability, because there is a trade-off among them. In current technology, it is difficult to attain high performance and high processing speed at the same time with single algorithms, and therefore, we need to find an efficient way of combination of multiple algorithms. We present an engineering solution to this problem. The system is based on multi-stage strategy as a whole: The first stage is a simple, fast, and reliable recognition algorithm with low substitution-error rate, and data of high quality are recognized in this stage, whereas sloppily written or degraded data are rejected and sent out to the second stage. The second stage is composed of a sophisticated structural pattern classifier and a pattern matching classifier, and these two complementary algorithms run in parallel (multiple expert approach). We demonstrate the performance of the completed system by experiments using real data.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e79-d_5_498/_p

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@ARTICLE{e79-d_5_498,
author={Hideaki YAMAGATA, Hirobumi NISHIDA, Toshihiro SUZUKI, Michiyoshi TACHIKAWA, Yu NAKAJIMA, Gen SATO, },
journal={IEICE TRANSACTIONS on Information},
title={A Handwritten Character Recognition System by Efficient Combination of Multiple Classifiers},
year={1996},
volume={E79-D},
number={5},
pages={498-503},
abstract={Handwritten character recognition has been increasing its importance and has been expanding its application areas such as office automation, postal service automation, automatic data entry to computers, etc. It is challenging to develop a handwritten character recognition system with high processing speed, high performance, and high portability, because there is a trade-off among them. In current technology, it is difficult to attain high performance and high processing speed at the same time with single algorithms, and therefore, we need to find an efficient way of combination of multiple algorithms. We present an engineering solution to this problem. The system is based on multi-stage strategy as a whole: The first stage is a simple, fast, and reliable recognition algorithm with low substitution-error rate, and data of high quality are recognized in this stage, whereas sloppily written or degraded data are rejected and sent out to the second stage. The second stage is composed of a sophisticated structural pattern classifier and a pattern matching classifier, and these two complementary algorithms run in parallel (multiple expert approach). We demonstrate the performance of the completed system by experiments using real data.},
keywords={},
doi={},
ISSN={},
month={May},}

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TY - JOUR
TI - A Handwritten Character Recognition System by Efficient Combination of Multiple Classifiers
T2 - IEICE TRANSACTIONS on Information
SP - 498
EP - 503
AU - Hideaki YAMAGATA
AU - Hirobumi NISHIDA
AU - Toshihiro SUZUKI
AU - Michiyoshi TACHIKAWA
AU - Yu NAKAJIMA
AU - Gen SATO
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 1996
AB - Handwritten character recognition has been increasing its importance and has been expanding its application areas such as office automation, postal service automation, automatic data entry to computers, etc. It is challenging to develop a handwritten character recognition system with high processing speed, high performance, and high portability, because there is a trade-off among them. In current technology, it is difficult to attain high performance and high processing speed at the same time with single algorithms, and therefore, we need to find an efficient way of combination of multiple algorithms. We present an engineering solution to this problem. The system is based on multi-stage strategy as a whole: The first stage is a simple, fast, and reliable recognition algorithm with low substitution-error rate, and data of high quality are recognized in this stage, whereas sloppily written or degraded data are rejected and sent out to the second stage. The second stage is composed of a sophisticated structural pattern classifier and a pattern matching classifier, and these two complementary algorithms run in parallel (multiple expert approach). We demonstrate the performance of the completed system by experiments using real data.
ER -