Image analysis – Pattern recognition – Unconstrained handwriting
Patent
1995-10-25
2000-07-25
Chang, Jon
Image analysis
Pattern recognition
Unconstrained handwriting
382192, 382203, 382228, 382185, G06K 918, G06K 946
Patent
active
060945060
ABSTRACT:
A computer system and method for generating probability tables for use in recognizing handwritten characters. The system receives handwritten characters as a sequence of strokes. The system characterizes each stroke by its shape and position. The position is represented as a pair of coordinates specifying the starting and ending points of the stroke. The system represents an input handwritten character by a string representing the shapes of the strokes and by a string of the pairs of coordinates of the strokes. The strings are ordered by the sequence in which the strokes are written. The system compares all possible pairs of a large sample of handwritten characters one to another by comparing the shape and position of each stroke in one character with those of the corresponding stroke of the other character. When comparing the two strokes, the system generates a pair of shapes and the sum of the squared distances between the starting points and the ending points of the two strokes. Based on these comparisons, the system generates the probabilities that any two handwritten characters that have the same number of strokes and that have a certain pair of shapes in the same relative place in their strings will represent the same character and that any two handwritten characters that have the same number of strokes and that have a pair of positions in the same relative place in their corresponding strings such that the sum of distances between the pair of positions is a certain distance, will represent the same character.
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Chang Jon
Microsoft Corporation
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