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
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;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487361
