Title :
Handwritten Chinese radical recognition using nonlinear active shape models
Author :
Shi, D. ; Gunn, S.R. ; Damper, R.I.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fDate :
2/1/2003 12:00:00 AM
Abstract :
Handwritten Chinese characters can be recognized by first extracting the basic shapes (radicals) of which they are composed. Radicals are described by nonlinear active shape models and optimal parameters found using the chamfer distance transform and a dynamic tunneling algorithm. The radical recognition rate is 96.5 percent correct (writer-independent) on 280,000 characters containing 98 radical classes.
Keywords :
handwritten character recognition; optical character recognition; optimisation; chamfer distance transform; dynamic tunneling algorithm; handwritten Chinese radical recognition; nonlinear active shape models; optimal parameters; radical extraction; radical recognition rate; Active shape model; Character recognition; Data mining; Deformable models; Gunn devices; Handwriting recognition; Heuristic algorithms; Polynomials; Principal component analysis; Tunneling;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2003.1177158
