In this paper, we present a new approach to offline OCR (optical character recognition) for
printed Persian subwords using wavelet packet transform. The proposed algorithm is used …

A system is developed for recognition of handwritten Farsi/Arabic characters and numerals.
The discrete wavelet transform is utilized to produce wavelet coefficients, which are used for …

Optical Character Recognition (OCR) systems have been effectively developed for the
recognition of printed characters of non-Indian languages. Efforts are underway for the …

This paper presents an OCR (optical character recognition) system for the handwritten
Gurmukhi characters using different wavelet transforms. There is a lot of research work …

The typical Optical Character Recognition (OCR) systems, regardless the character's nature,
are based mainly on three stages, preprocessing, features extraction and discrimination …

This work is to apply wavelet packet transformation for the recognition of isolated
handwritten Malayalam (one of the south Indian languages) characters. The key idea is that …

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 …

The frontier area of research in the field of pattern recognition and image processing is
handwritten character recognition. This leads to a great demand for OCR system containing …

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

This paper presents an OCR (optical character recognition) system for the handwritten
Gurmukhi numerals. A lot of work has been done in recognition of characters and numerals …