Title :
A segmentation method of merged numerals by wavelet analysis and GVF model
Author :
Pan, Jian-jia ; Tang, Yuan-yan
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon
Abstract :
Aiming for some limit of the recognition-free approach to the segment merged numerals, a new segmentation method is proposed based on GVF mode in this paper. Firstly, this paper presents a new segment model based on wavelet multi-scale analysis and GVF model, and then we apply this energy model to segment the merged numerals. This method got the candidate segment line by contour method, and then confirmed the segment path based on energy model. The segmented digits have a more natural shape than others.
Keywords :
handwriting recognition; image recognition; image segmentation; wavelet transforms; GVF model; contour method; handwriting; merged numerals; recognition-free approach; segmentation method; wavelet analysis; wavelet multiscale analysis; Active contours; Character recognition; Computer science; Handwriting recognition; Image segmentation; Pattern analysis; Pattern recognition; Shape; Sorting; Wavelet analysis; GVF Model; Merged Numeral; Segmentation; Wavelet Analysis;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-2238-8
Electronic_ISBN :
978-1-4244-2239-5
DOI :
10.1109/ICWAPR.2008.4635832
