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 …

We propose a system for recognition of isolated handwritten Persian/Arabic characters and
numerals. Wavelet transform has been used for feature extraction in this system using Haar …

This paper presents the application of wavelet processing in the domain of handwritten
character recognition. To attain high recognition rate, robust feature extractors and powerful …

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

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 …

Wavelet transform of Projection profile of character images has been found to be suitable for
machine recognition of handwritten characters. In this work, performance analysis of such a …

We proposed a new method for isolated handwritten Farsi/Arabic characters and numerals
recognition using fractal codes and Haar wavelet transform. Fractal codes represent affine …

This paper presents a novel method based on wavelet transform for offline recognition of
isolated handwritten Malayalam characters. Thirty three characters from Malayalam, one of …

The extraction of rotation and scale invariant features is an essential problem in document
image analysis. This paper proposes an effective rotation and scale invariant holistic …

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 …