Paper
1 February 1991 Data-driven parallel architecture for syntactic pattern recognition
Chien-Chao Tseng, Shu-Yuen Hwang
Author Affiliations +
Proceedings Volume 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition; (1991) https://doi.org/10.1117/12.25326
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
Syntax analysis is the primary operation of a Syntactic Pattern Recognition (SPR) system. A real time SPR system would require efficient architectural supports for syntax analysis. The process of syntax analysis and the execution of a logic program are closely related. In this paper we propose a data-driven parallel architecture for syntax analysis based on the principle of parallel execution of logic programs. The proposed architecture is hybrid in the sense that its functional units unlike those itt traditional fine-grain datafiow model are coarse-grain macro operators capable of performing unification operations. The scheme for compiling the datafiow graphs eliminates the necessity of any operand matching unit in the data-driven architecture. All memory requests are tagged with register identification (similar to IBM 360/91) to provide an efficient hardware support for context switching. The experimental results indicate the proposed architecture is promising.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chien-Chao Tseng and Shu-Yuen Hwang "Data-driven parallel architecture for syntactic pattern recognition", Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); https://doi.org/10.1117/12.25326
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KEYWORDS
Logic

Pattern recognition

Data modeling

Inspection

Head

Optical character recognition

Computer programming

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