Abstract
The task of recognizing handwritten numerals, using a classifier, has great importance. This paper applies the technique of Radial Basis Function for handwritten numeral recognition of Devanagari Script. Lot of work has been done on Devanagari numeral recognition using different techniques for increasing the accuracy of recognition. Since the database is not globally created, firstly we created the database by implementing pre-processing on the set of training data. Then by the use of Principal Component Analysis we have extracted the features of each image, some researchers have also used density feature extraction. Since different people have different writing style, so here we are trying to form a system where recognition of numeral becomes easy. Then at the hidden layer centers are determined and the weights between the hidden layer and the output layer of each neuron are determined to calculate the output, where output is the summing value of each neuron. In this paper we have proposed an algorithm for determining Devanagari numeral recognition using the above mentioned system
Highlights
Handwritten character recognition has been around since 1980’s
In this paper we proposed a method for recognition of Handwritten Devanagari numerals using Radial basis function
This paper proposed a technique for Devanagari numeral recognition using Radial basis function by forming the cluster of training data at the hidden neuron and a set of test data are input to recognize the exact digit
Summary
Handwritten character recognition has been around since 1980’s. Till date many researches have been done. Automatic reading of numerical fields has been attempted in several application areas such as online handwritten recognition on computer tablets, recognize zip codes on mail for postal address sorting, processing bank check amounts, numeric entries in forms filled up by hand (for eg.Tax forms) and so on. While solving this domain of handwritten recognition many challenges are faced. In this paper we proposed a method for recognition of Handwritten Devanagari numerals using Radial basis function It is a feed forward neural network that computes activation at the hidden neuron in a way that is different from product between input vector and the weight vector.
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