Год выпуска: 2012 Автор: Sandhya Arora,Debotosh Bhattacharjee and Mita Nasipuri Издательство: LAP Lambert Academic Publishing Страниц: 156 ISBN: 9783659278419
Описание
Handwriting recognition is a difficult problem, because of the great amount of variations in human handwriting. When observed in isolation also, characters are often ambiguous. We have implemented some soft computing techniques using structural and statistical feature sets for constrained handwritten isolated Devnagari characters and numerals. Some preprocessing steps are applied before extracting statistical and structural information of character image. As conventional histogram based method does not work for handwritten Devnagari characters, differential distance based technique is designed to find shirorekha and spine. Multilayer perceptron, support vector machines and edit distance classifiers are used for classification. Three MLP combination techniques namely: max, min and weighted majority scheme is applied. Two approaches for two stage classification is discussed in detail to improve the accuracy. As there are many similar shaped characters, character set is grouped in two...
Добрый день! Хочу сказать Марине огромное спасибо за оперативное выполнение заказа - мне необходима была рецензия на дипломную работу. Рецензию я получила уже на следующий день, причем за дешевую цену - всего 500 рублей. Спасибо!