Title :
VLSI implementation for real-time extraction of direction vectors from binary images for pattern recognition applications
Author :
Cao, J. ; Shridhar, M. ; Ahmadi, M. ; Jullien, G.A.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
The border direction features of handwritten characters are used in some high accuracy pattern recognition systems. The speed of extracting the direction features in software implementation is generally low in compare with the speed of recognition itself. This paper therefore presents a 1.2 μm CMOS VLSI implementation of directional feature extraction of binary images. The proposed method in this paper offers a potential vehicle to speed up the feature extraction part as well as the entire recognition system
Keywords :
CMOS digital integrated circuits; VLSI; character recognition equipment; digital signal processing chips; feature extraction; image recognition; real-time systems; 1.2 micron; CMOS chip; VLSI implementation; binary images; border direction features; direction vectors; directional feature extraction; feature extraction; handwritten characters; pattern recognition applications; real-time extraction; Application software; Artificial neural networks; Character recognition; Feature extraction; Handwriting recognition; Humans; Neural networks; Pattern recognition; Shape; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343230
