• DocumentCode
    1661218
  • Title

    Analog CMOS implementation of feature detection operators for automatic real-time optical character recognition systems

  • Author

    Caviglia, D.D. ; Tosato, M. ; Mazzucco, M. ; Bo, G.M. ; Valle, M.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    2
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1089
  • Abstract
    Low-power, high efficiency, small size and real-time optical character recognition (OCR) systems can benefit from the analog VLSI implementation of (at least) some of their constituting modules. The reference architecture usually consists of a feature detection and extraction block (FE) directly interfaced to the on-chip CMOS sensor, and of a classifier. The FE purpose is to reduce the redundancy of information in handwritten character images prior to feeding the classifier. The analog circuit architecture of an FE block and its circuit implementation are presented and discussed. It can be used for both segmented and nonsegmented strings of characters. The circuit implementation is based on weak-inversion operated circuits. The real-time speed, low power and small size are achieved through careful power-speed tradeoff optimization at both architectural and circuit levels
  • Keywords
    CMOS analogue integrated circuits; VLSI; analogue processing circuits; feature extraction; handwritten character recognition; low-power electronics; optical character recognition; real-time systems; redundancy; analog CMOS implementation; analog VLSI; architectural levels; automatic real-time optical character recognition; circuit levels; feature detection; feature detection operators; feature extraction; handwritten character images; low power; nonsegmented strings; on-chip CMOS sensor; power-speed tradeoff optimization; redundancy; reference architecture; segmented strings; weak-inversion operated circuits; Character recognition; Circuits; Computer vision; Data mining; Feature extraction; Iron; Optical character recognition software; Optical sensors; Real time systems; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
  • Print_ISBN
    0-7803-7057-0
  • Type

    conf

  • DOI
    10.1109/ICECS.2001.957689
  • Filename
    957689