Title :
Handwritten character recognition using steerable filters and neural networks
Author :
Talleux, Samuel ; Tavsanoglu, Vedat ; Tufan, Emir
Author_Institution :
Sch. of Electr., Electron. & Inf. Eng., South Bank Univ., London, UK
fDate :
31 May-3 Jun 1998
Abstract :
In this paper a system for handwritten character recognition has been developed using a steerable filter and a neural network where the former yields the local direction of dominant orientation while the latter, using this feature, recognises the character. Two different models of neural networks have been tested: (i) the single layer perceptron with error correction and (ii) multilayer perceptron with backpropagation algorithm. The pre-processing consists of several stages
Keywords :
backpropagation; character recognition; error correction; neural nets; perceptrons; backpropagation algorithm; dominant orientation; error correction; handwritten character recognition; local direction; multilayer perceptron; neural networks; single layer perceptron; steerable filters; Band pass filters; Character recognition; Gaussian processes; Handwriting recognition; Information filtering; Information filters; Multilayer perceptrons; Neural networks; Noise reduction; Testing;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.694486
