A Novel Handwritten Letter Recognizer Using Enhanced Evolutionary Neural Network [chapter]

Fariborz Mahmoudi, Mohsen Mirzashaeri, Ehsan Shahamatnia, Saed Faridnia
2009 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
This paper introduces a novel design for handwritten letter recognition by employing a hybrid back-propagation neural network with an enhanced evolutionary algorithm. Feeding the neural network consists of a new approach which is invariant to translation, rotation, and scaling of input letters. Evolutionary algorithm is used for the global search of the search space and the back-propagation algorithm is used for the local search. The results have been computed by implementing this approach for
more » ... ecognizing 26 English capital letters in the handwritings of different people. The computational results show that the neural network reaches very satisfying results with relatively scarce input data and a promising performance improvement in convergence of the hybrid evolutionary back-propagation algorithms is exhibited.
doi:10.1007/978-3-642-02312-5_1 fatcat:iekzharacbgrziiahqpdqv5z2i