Paper
22 October 1993 Parallel approach to character recognition and its VLSI implementation
Heng-Da Cheng, C. Xia, C. N. Zhang
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157996
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heng-Da Cheng, C. Xia, and C. N. Zhang "Parallel approach to character recognition and its VLSI implementation", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157996
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KEYWORDS
Very large scale integration

Associative arrays

Detection and tracking algorithms

Image processing

Optical character recognition

Binary data

Feature extraction

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