Large scale hand-written character recognition system using subspace method

Nei Kato, Yoshiaki Nemoto

Research output: Contribution to journalConference article

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 languageEnglish
Pages (from-to)432-437
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China
Duration: 1996 Oct 141996 Oct 17

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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