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A Correlation Retina for Real-Time Pattern Recognition

Abstract : We present in this paper a programmable real-time pattern recognition retina fabricated in standard CMOS 0.6 pn process. Each of the pixels of the retina is composed of a photodiode and an electronic device used during the programming phase to digitalize the image of the pattern to recognize into a binary image stored in latches. The array of pixels is thus partitioned into two complementary disjoint subsets with all the photodiodes of the same subset connected together in order to obtain the sum total of the currents. During the analysis phase, an optical correlation between the projected image and the reference binary image memorized in the circuit is done. The result is read-out as two voltages representing the following two currents: a "white" current proportional to the luminous flux falling on the photodiodes pertaining to the "white" part of the binary reference image and a "black" current corresponding to the black part. By comparing these two voltages to expected values, a shift of the pattern or a difference between the observed and programmed pattern can be detected.
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Bernard Lamalle, Guy Cathébras, L.F.C. Lew Yan Voon, Patrick Gorria, Benaïssa Bellach, et al.. A Correlation Retina for Real-Time Pattern Recognition. ETFA: Emerging Technologies and Factory Automation, Oct 2001, Antibes-Juan les Pins, France. pp.367-372, ⟨10.1109/ETFA.2001.997708⟩. ⟨lirmm-02306537⟩



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