Parallel hardware implementation of handwritten character recognition system on wavefront array processor architecture

Young Joon Kim, Seong Whan Lee, Myung Won Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we describe a parallel hardware implementation of handwritten character recognition system with neural network classifier on wavefront array processor (WAP) architecture. The WAP architecture needs no global clock for controlling the entire processors and each processing element can even be clocked differently. Thus, the clock skew becomes no longer problem and it is possible to construct massively parallel networks which are required for handwritten character recognition. We also present experimental results for the recognition of unconstrained handwritten numerals with the WAP architecture. The results were very impressive in view of real world application.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PublisherIEEE Computer Society
Pages715-718
Number of pages4
ISBN (Electronic)0818671289
DOIs
Publication statusPublished - 1995
Event3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada
Duration: 1995 Aug 141995 Aug 16

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
ISSN (Print)1520-5363

Conference

Conference3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/TerritoryCanada
CityMontreal
Period95/8/1495/8/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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