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Proceedings Paper

Parallel approach to character recognition and its VLSI implementation
Author(s): Heng-Da Cheng; C. Xia; C. N. Zhang
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Paper Abstract

In this paper, a novel parallel approach called VH2D (Vertical- Horizontal-2 Diagonals) method is proposed. In this method, projections of character images are made from four directions: vertical, horizontal, and two diagonals, which produce four subfeature vectors for each character. The four subfeature vectors are adjusted according to the character's center and combined into a complete feature vector. The feature dictionary consists of 3000 Chinese characters. The experiment has shown that the approach can result in extremely high accuracy of recognition. The techniques of pipelining and parallelism are applied in the proposed approach. The time complexity of the proposed algorithm is 0(N). A simple VLSI architecture composed of four linear arrays of processing elements for the VH2D approach is briefly presented.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157996
Show Author Affiliations
Heng-Da Cheng, Utah State Univ. (United States)
C. Xia, Utah State Univ. (United States)
C. N. Zhang, Univ. of Regina (Canada)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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