The design of rotation-invariant pattern recognition using the silicon retina

Author

Chiu, Chin-Fong ; Wu, Chung-Yu

Author_Institution

Nat. Sci. Council, Hsinchu, Taiwan

Volume

32

Issue

4

fYear

1997

fDate

4/1/1997 12:00:00 AM

Firstpage

526

Lastpage

534

Abstract

A new rotation-invariant pattern recognition system is proposed and analyzed. In this system, silicon retina cells capable of image sensing and edge extraction are used so that the system can directly process images from the real world without an extra edge detector. The rotation-invariant discrete correlation function is modified and implemented in the silicon retina structure by using the current summation. Simulation results have verified the correct function of the proposed system. Moreover, an experimental chip to implement the proposed system with a 32×32 cell array has been designed and fabricated in 0.8-μm n-well CMOS process. Experimental results have successfully shown that the system works well for the arbitrary orientation pattern recognition

Keywords

CMOS integrated circuits; VLSI; cellular arrays; correlation methods; edge detection; elemental semiconductors; feature extraction; image sensors; neural nets; silicon; 0.8 micron; Si; arbitrary orientation pattern recognition; artificial neural networks; cell array; circular harmonic transformation; current summation; discrete correlation function; edge extraction; image sensing; n-well CMOS process; rotation-invariant pattern recognition; silicon retina; Artificial neural networks; Automatic control; Control systems; Humans; Image edge detection; Image restoration; Pattern recognition; Retina; Silicon; Very large scale integration;

fLanguage

English

Journal_Title

Solid-State Circuits, IEEE Journal of

Publisher

ieee

ISSN

0018-9200

Type

jour

DOI

10.1109/4.563674

Filename

563674