An LSI hardware design for online character recognition using associative memory

Author

Ahmadi, Ali ; Shirakawa, Yoshinori ; Abedin, Anwarul ; Kamimura, Kazuhiro ; Mattausch, Hans Jürgen ; Koide, Tetsushi

Author_Institution

Res. Center for Nanodevices & Syst., Hiroshima Univ., Higashi-Hiroshima, Japan

fYear

2005

fDate

7-10 Aug. 2005

Firstpage

464

Abstract

In this paper, we propose an associative memory based system for real-time character recognition. Based on an associative memory with 128 reference patterns of size 256 bits designed in 0.35 μm technology we could get an average nearest-match search time of 130 ns for classification of different samples of characters written in Times and Arial fonts. Comparing to other OCR systems, although this prototype model is not yet robust enough, it is advantageous in terms of classification lime and hardware size.

Keywords

character sets; content-addressable storage; integrated circuit design; large scale integration; memory architecture; optical character recognition; 0.35 micron; 130 ns; 256 bit; Arial fonts; LSI hardware design; OCR systems; Times fonts; associative memory; nearest-match search time; online character recognition; Associative memory; Character recognition; Hardware; Image segmentation; Large scale integration; Optical character recognition software; Prototypes; Real time systems; Robustness; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. 48th Midwest Symposium on

Print_ISBN

0-7803-9197-7

Type

conf

DOI

10.1109/MWSCAS.2005.1594138

Filename

1594138