Yun-Seok Nam

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We propose an effective method for classifying machine-printed and handwritten addresses on Korean mail piece images. It is of vital importance to know if an input image is machine-printed or handwritten in such applications as address reading, form processing, FAX routing, and etc., since approaches for handwritten images are developed quite differently(More)
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