Recognition of Marathi Newsprint Text Using Neural Network and Genetic Algorithm

Abstract

Now a day there are many new methodologies required for the increasing needs in newly emerging areas, with this methodologies there are many techniques are present for the character recognition of handprint Devanagri, Bengali, Tamil, China etc. But very little research is for printed material. So in our project we propose the recognition of devnagari printed text using neural network and genetic algorithm. In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years.. All feature-extraction techniques as well as training, classification and matching techniques useful for the recognition are discussed in various sections of the paper. An attempt is made to address the most important results reported so far and it is also tried to highlight the beneficial directions of the research till date. Moreover, the paper also contains a comprehensive bibliography of many selected papers appeared in reputed journals and conference proceedings as an aid for the researchers working in the field of Devanagari printed text using neural network and genetic algorithm.
DOI: 10.17762/ijritcc2321-8169.1604111