Study on Implementation of a Neural Coprocessor for Printed hangul - Character Recognition


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 1, pp. 119-127, Jan. 1998
10.3745/KIPSTE.1998.5.1.119,   PDF Download:

Abstract

In this paper, the design of a VLSI-based multilayer neural network is presented, which can be used as a dedicated hardware for character-type segmentation and character-element recognition on consuming large processing time in conventional software-based Hangul printed-character recognition systems. Also the architecture and its design of a neural coprocessor interfacing the neural network with a host computer and controlling the neural network are presented. The architecture, behavior, and performance of the proposed neural coprocessor are justified using VHDL modeling and simulation. experimental results show the successful rates of character-type segmentation and character0-element recognition is competitive to those of software-based Hangul printed-character recognition systems with retaining high-speeed.


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Cite this article
[IEEE Style]
K. Y. Chul and L. T. Won, "Study on Implementation of a Neural Coprocessor for Printed hangul - Character Recognition," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 1, pp. 119-127, 1998. DOI: 10.3745/KIPSTE.1998.5.1.119.

[ACM Style]
Kim Young Chul and Lee Tae Won. 1998. Study on Implementation of a Neural Coprocessor for Printed hangul - Character Recognition. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 1, (1998), 119-127. DOI: 10.3745/KIPSTE.1998.5.1.119.