Handwritten digit normalization method

Image analysis – Histogram processing – For setting a threshold

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382 46, 382 22, 395102, 345128, G06K 942, G06K 932, G06K 948

Patent

active

053254473

ABSTRACT:
A handwritten character image normalization technique provides predetermined pixel dimensions and a normalized skew. The skew slope of the input image is calculated. This skew slope is employed to determine the bounds of the smallest parallelogram which completely encloses all of the stroke pixels of the input image. This parallelogram has a first pair of opposed horizontal sides and a second pair of opposed sides having the skew slope. The stroke pixels of this parallelogram are then mapped into the standard size horizontal row and vertical column pixel dimensions using horizontal and vertical scaling factors determined from the parallelogram dimensions and the standard dimensions. This mapping employs a subpixel grid of the normalized pixels. Candidate stroke pixels are identified which correspond to any part of a stroke pixel of the input image. A candidate stroke pixel is set to a stroke pixel if and only if the number of such subpixels mapped into a stroke pixel of the input image exceeds a predetermined number.

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patent: 5054098 (1991-10-01), Lee
Moment Normalization of Handprinted Characters; R. G. Casey IBM Journal of Research and Development, Sep. 1970, pp. 548-552.

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