Image analysis – Image segmentation – Segmenting individual characters or words
Reexamination Certificate
2006-07-04
2006-07-04
Tran, Phuoc (Department: 2621)
Image analysis
Image segmentation
Segmenting individual characters or words
C382S178000
Reexamination Certificate
active
07072513
ABSTRACT:
Disclosed is a method of segmenting handwritten touching numeral strings having a non-vertical segmentation line. The method comprises the steps of: receiving an image of the handwritten touching numeral strings having the non-vertical segmentation line extracted from a specially patterned document; smoothing an uneven shape of the image of handwritten touching numeral strings; searching a contour line for the image of smoothed handwritten touching numeral strings; searching a candidate segmentation region, in which the touching numeral strings may exist, from the searched contour line; searching a candidate segmentation point within the candidate segmentation region; searching a vertical segmentation line for segmenting the handwritten touching numeral strings from the candidate segmentation point; searching the non-vertical segmentation line for segmenting the handwritten touching numeral strings having any inclination from the candidate segmentation lines; and segmenting the handwritten touching numeral strings by use of the vertical and non-vertical segmentation lines.
REFERENCES:
patent: 5321768 (1994-06-01), Fenrich et al.
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patent: 97-49825 (1997-07-01), None
patent: 2001-83265 (2001-09-01), None
Yi-Kai Chen, et al. ; Segmentation of Single- or Multiple- Touching Handwritten Numeral String Using Background and Foreground Analysis; IEEE Transactions On Pattern Analysis And Machine Intelligence; vol. 22, No. 11 ; Nov. 2000 ; pp. 1304-1317.
Xian Wang, et al. ; Holistic recognition of handwritten character pairs; Pattern Recognition 33 (2000) ; pp. 1967-1973.
Chi Su Young
Cho Soo Hyun
Chung Yun Koo
Kim Kye Kyung
Lee Hyoung Gu
Electronics and Telecommunications Research Institute
Mayer Brown Rowe & Maw LLP
Tran Phuoc
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