Method and apparatus for connected and degraded text recognition

Image analysis – Image segmentation – Segmenting individual characters or words

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382228, G06K 900

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056446489

ABSTRACT:
A method and apparatus for recognizing connected and degraded text is presented. A text enhancement process which may be used in combination with text recognition comprises filtering a scanned image to determine whether a binary image value of an image pixel should be complemented, determining whether complementing the value of the pixel reduces the sharpness of wedge-like figures in the image, and complementing the binary value of the pixel when doing so does not reduce sharpness. Image preprocessing may also provide a line adjacency graph (LAG) based on a set of image pixels and the removal of a path from a LAG when the path is located either at the top or bottom of the set of image pixels and is of degree (1,0) or (0,1), respectively, and connected to a junction of the LAG. The recognition process may comprise determining primitive strokes in a scanned image, segmenting the scanned image into sub-character segments based on the primitive strokes, identifying features which characterize the sub-character segments, and comparing identified features to stochastic models of known characters and determining an optimum sequence of known characters based on the comparisons through the use of Viterbi scoring and level building procedures.

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