Large scale hand-written character recognition system using subspace method

Nei Kato; Yoshiaki Nemoto

Large scale hand-written character recognition system using subspace method

Nei Kato, Yoshiaki Nemoto

INF - Applied Information Sciences

Research output: Contribution to journal › Conference article › peer-review

7 Citations (Scopus)

Abstract

Two methods for large scale handwritten character recognition were developed, namely the Combination method (CM) and the Uniform Division Method (UDM). The Combination Method constructs the subspace from several groups, including different number of samples divided from the whole training samples, thus, the CM has 97.76 % recognition rate. The Uniformly Distributed method, on the other hand, uses the uniformly divided training samples, thus, it has a 98.64% recognition rate.

Original language	English
Pages (from-to)	432-437
Number of pages	6
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	1
Publication status	Published - 1996 Dec 1
Event	Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China Duration: 1996 Oct 14 → 1996 Oct 17

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture

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title = "Large scale hand-written character recognition system using subspace method",

abstract = "Two methods for large scale handwritten character recognition were developed, namely the Combination method (CM) and the Uniform Division Method (UDM). The Combination Method constructs the subspace from several groups, including different number of samples divided from the whole training samples, thus, the CM has 97.76 % recognition rate. The Uniformly Distributed method, on the other hand, uses the uniformly divided training samples, thus, it has a 98.64% recognition rate.",

author = "Nei Kato and Yoshiaki Nemoto",

year = "1996",

month = dec,

day = "1",

language = "English",

volume = "1",

pages = "432--437",

journal = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

issn = "0884-3627",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 14-10-1996 Through 17-10-1996",

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TY - JOUR

T1 - Large scale hand-written character recognition system using subspace method

AU - Kato, Nei

AU - Nemoto, Yoshiaki

PY - 1996/12/1

Y1 - 1996/12/1

N2 - Two methods for large scale handwritten character recognition were developed, namely the Combination method (CM) and the Uniform Division Method (UDM). The Combination Method constructs the subspace from several groups, including different number of samples divided from the whole training samples, thus, the CM has 97.76 % recognition rate. The Uniformly Distributed method, on the other hand, uses the uniformly divided training samples, thus, it has a 98.64% recognition rate.

AB - Two methods for large scale handwritten character recognition were developed, namely the Combination method (CM) and the Uniform Division Method (UDM). The Combination Method constructs the subspace from several groups, including different number of samples divided from the whole training samples, thus, the CM has 97.76 % recognition rate. The Uniformly Distributed method, on the other hand, uses the uniformly divided training samples, thus, it has a 98.64% recognition rate.

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M3 - Conference article

AN - SCOPUS:0030385018

VL - 1

SP - 432

EP - 437

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

T2 - Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics

Y2 - 14 October 1996 through 17 October 1996

ER -