Title :
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
fDate :
4/1/1997 12:00:00 AM
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;
Journal_Title :
Solid-State Circuits, IEEE Journal of
