DocumentCode
2443782
Title
A hybrid method for recognizing handwritten numbers
Author
Meng, Ye ; Junbo, Fan ; Fan, Jin
Author_Institution
Inst. of Neural Networks & Inf. Tech., Southwest Jiaotong Univ., Sichuan, China
Volume
7
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
4269
Abstract
A hybrid method for recognizing handwritten numbers is proposed. This method exploits the power of neural networks, tree classifiers, fuzzy feature extraction and topologic feature extraction. Simulation results demonstrate that this method is efficient
Keywords
character recognition; feature extraction; fuzzy set theory; image classification; neural nets; topology; trees (mathematics); fuzzy feature extraction; handwritten number recognition; neural networks,; topologic feature extraction; tree classifiers; Classification tree analysis; Education; Feature extraction; Fuzzy neural networks; Handwriting recognition; Multi-layer neural network; Neural networks; Pattern recognition; Shape; Technology planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374952
Filename
374952
Link To Document