Character Recognition by Levenberg-Marquardt (L-M) Algorithm Using Back Propagation ANN

Abstract

The Author dedicatedly emphasis the character recognition that is applied vigorously on various techniques and the comparison of analysis has been done to justify the Network. Basis of complexity of task the network algorithm has been designed and developed and the recognition pattern is trained. The character recognition sequenced has been ranged on characters data and available technique. The emphasis has been given on the comparison and to increase the recognition accuracy and decreasing the recognition time. The character recognition interface includes the recognition of defined characters made available in the database and the integration of it. character recognition system is implemented for the characterisation of English alphabets with customised specific requirements using most contemporary optimisation algorithms ( Levenberg-Marquardt ) in back-propagation Multi layered Feed -forward network in Artificial Neural Network. The ANN training pattern has been done with most accuracy to the Characters from (A-J) are created with size of each character is n x n square matrix form.