DocumentCode :
3141638
Title :
Extraction of personal features from stroke shape, writing pressure and pen inclination in ordinary characters
Author :
Yamazaki, Yasushi ; Mizutani, Yousuke ; Komatsu, Naohisa
Author_Institution :
Dept. of Electron., Inf. & Commun. Eng., Waseda Univ., Tokyo, Japan
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
426
Lastpage :
429
Abstract :
We propose an extraction method of personal features based on online handwritten characters including writing pressure and pen inclination information. In the proposed method, any handwritten character (i.e., ordinary character) is described by a set of three dimensional curves, and personal features are described by a set of Fourier descriptors for the three dimensional curves. From some simulation results using handwritten data, it is clear that the proposed method effectively extracts personal features from ordinary characters
Keywords :
feature extraction; handwriting recognition; handwritten character recognition; optical character recognition; Fourier descriptors; handwritten character; handwritten data; online handwritten characters; ordinary characters; pen inclination; personal feature extraction; stroke shape; three dimensional curves; writing pressure; Azimuth; Data mining; Feature extraction; Frequency domain analysis; Handwriting recognition; Joining processes; Shape; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
Type :
conf
DOI :
10.1109/ICDAR.1999.791815
Filename :
791815
Link To Document :
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