DocumentCode
3255532
Title
Handwritten digits recognition with neural networks and fuzzy logic
Author
Lu, Wei ; Li, Zhijian ; Shi, Bingxue
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
3
fYear
1995
fDate
Nov/Dec 1995
Firstpage
1389
Abstract
A handwriting recognition system based on neural networks and fuzzy logic is proposed. The neural network is used to extract local features from pattern. And based on the feature maps, a fuzzy logic recognizer is adopted to do the recognition. Experiments show that the system has large ability to deal with distortion and shift variations in handwriting characters
Keywords
feature extraction; fuzzy logic; handwriting recognition; neural nets; distortion; feature maps; fuzzy logic recognizer; handwritten digits recognition; local features; neural networks; shift variations; Biological neural networks; Character recognition; Feature extraction; Fuzzy logic; Handwriting recognition; Hydrogen; Microelectronics; Neural networks; Pattern recognition; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487361
Filename
487361
Link To Document