Automated recongition of characters using optical filtering with

Image analysis – Histogram processing – For setting a threshold

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382 15, G06K 900

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053613112

ABSTRACT:
A method and apparatus is described for recognition of hand printed characters using pairs of positive and negative correlative functions (PNCFs), the PNCFs including both pattern and relevance information, implemented by optical elements. A set of optical elements having varying optical density corresponding to a set of two-dimensional PNCFs is generated. A pattern of illumination responsive to the image of the character to be identified is simultaneously transmitted through each of the optical elements implementing the PNCFs. The amount of light transmitted through each of the elements is measured, providing a transmission coefficient. The transmission coefficients are the inputs to a neural network, such that the inputs to the neural network are a set of transmission coefficients resulting from transmission of light corresponding to a character to be identified through a complete set of optical elements implementing a set of PNCFs. The neural network calculates weighted sums of the transmission coefficients. The neural network may be implemented as a network of resistors connected between input nodes, intermediate nodes, and output nodes. The output node having the highest voltage identifies the character to be identified.

REFERENCES:
patent: 3182290 (1965-05-01), Rabinow
patent: 3197735 (1965-07-01), Haynes et al.
patent: 3810093 (1974-05-01), Yasuda et al.
patent: 3879605 (1975-04-01), Carl et al.
patent: 4082431 (1978-04-01), Ward, III
patent: 4590608 (1986-05-01), Chen et al.
patent: 4783830 (1988-11-01), Johnson et al.
patent: 4854669 (1989-08-01), Birnbach et al.
patent: 4989257 (1991-01-01), Horowitz
patent: 4998286 (1991-03-01), Tsujiuchi et al.
patent: 5014327 (1991-05-01), Potter et al.
patent: 5047968 (1991-09-01), Carrington et al.
patent: 5050220 (1991-09-01), Marsh et al.
Uncertainty relation for resolution in space, spatial frequency, and Orietion Optimized by Two-dimensional Visual Cortical Filters, pp. 1160-1169 Daugman, Havard University, J. Opt. Soc. Am. A/vol. 2 No. 7/ Jul. 1985.
Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression, Daughman, IEEE Transactions on Acoustics, Speech and Signal Processing vol. 36, No. 7, Jul. 1988, pp. 1169-1179.
Winner-Take-All Network of O(N) Complexity, Advances in New Information Processing Systems 1, Ed. D. S. Touretzky, 1989, pp. 703-711.
Karhunen Loeve Feature Extraction For Neural Handwritten Character Recognition, Patrick J. Grother, Image Recognition Group NIST, SPIE, vol. 1709, Apr. 1992, pp. 1-11.
Training Feed Forward Neural Networks Using Conjugate Gradients, Grother et al, U.S. Department of Commerce NIST, NISTIR 4776, Feb. 1992, pp. 1-22.
Massively Parelel Implementation of Character Recognition Systems Garris et al, U.S. Department of Commerce NIST, NISTIR 4750, Jan. 1992, pp. 1-12.
Self-Organizing Neural Network Character Recongition on a Massively Parallel Computer, Wilson et al, NIST, International Joint Conference on Neural Networks, Proceeding, II, pp. 325-329, Jun. 1990, San Diego, Calif.
Analysis of a Biologically Motivated Neural Network for Character Recognition, Garris et al, NIST, Proceedings: Analysis of Neural Network Applications, ACM Press, George Mason University, May 1991, pp. 160-175.
Methods for Enhancing Neural Network Handwritten Character Recognition, Garris et al, NIST, International Joint Conference on Neural Networks, vol. 1, IEEE, Seattle, Jul. 1991, pp. I-695--I-700.
Faust: A vision-based Neural Network Multi-map Pattern Recognition Architecture, Wilson, U.S. Department of Commerce, NIST, NISTIR 4805 Mar. 1992, pp. 1-16.

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