Noise tolerant optical character recognition system

Details Noise tolerant optical character recognition system Noise tolerant optical character recognition system

1992-04-24

1993-05-18

Razavi, Michael T.

Image analysis

Histogram processing

For setting a threshold

382 25, 382 26, 382 22, G06K 900

Patent

active

052127397

ABSTRACT:
Disclosed is a method of optical character recognition that first segments a graphical page image into word images. The method obtains a set of features by extracting smaller outlines of the dark regions in the word images, and then further dissecting each of the smaller outlines into small sections called micro-features. Micro-features are simply sections of character outlines, therefore, they can easily be extracted from the outlines of an entire word without any knowledge about character segmentation boundaries. Micro-features are extracted from an outline by finding the local extremities of the outline and then defining a micro-feature between each pair of sequential extremities. Once extracted, the micro-features are compared to micro-features from an ideal character in order to classify a character, and convert it into a character code.

REFERENCES:
patent: 4764973 (1988-08-01), O'Hair
patent: 4860376 (1989-08-01), Tanka
patent: 4972499 (1990-11-01), Kurosawa
patent: 5025481 (1991-06-01), Ohuchi
Cederberg, R.L.T., "Images to Outlines, Chain Link Coding and Segmentation for Raster Scan Devices", Computer Graphics and Image Processing, vol. 10, No. 3, 1979, pp. 224-234.
Gonzales and Sklansky, "Fast Polygonal Approximation of Digitized Curves", Pattern Recognition, vol. 12, 1981, pp. 327-331.
Duda, Richard O. and Hart, Peter E., Pattern Classification and Scene Analysis, John Wiley & Sons, 1973, Chapters 2-6.

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