Recognition of Arabic handwriting characters is a difficult task due to similar appearance of
some different characters. However, the selection of the method for feature extraction …

Character recognition is one of the most successful applications of artificial neural network
methods. However, most of the work has been dedicated to the recognition of Latin …

Compound characters which are one of the features of Marathi script, derived from
Devanagari, occur frequently in the script. Recognition of these characters poses challenges …

Handwriting recognition is a very challenging problem. Much work has been done on the
recognition of Latin characters but limited work has been done on recognizing Arab …

Computer based pattern recognition is a process that involves several sub-processes,
including pre-processing, feature extraction, feature selection, and classification. Feature …

In this study, an efficient approach for the recognition of on-line Arabic handwritten
characters is presented. The approach is based on structural features and decision tree …

With advances in machine learning techniques, handwriting recognition systems have
gained a great deal of importance. Lately, the increasing popularity of handheld computers …

In this paper, we fill a gap in the literature by studying the problem of Arabic handwritten digit
recognition. The performances of different classification and feature extraction techniques on …

This article suggests wavelet transform based feature extraction technique for extracting
robust features from Tamil handwritten characters. The algorithm uses feed-forward back …

Off-line recognition of text plays a significant role in several applications such as the
automatic sorting of postal mail or editing old documents. The recognition of Arabic …