Decomposition of a word into a set of appropriate pseudo-characters is a challenging task in
case of a cursive script like Bangla. Segmentation-free approach bypasses the …

Abstract Optical Character Recognition (OCR) is the process of recognizing printed or
handwritten text on paper documents. This paper proposes an OCR system for Arabic …

Fusing classifiers' decisions can improve the performance of a pattern recognition system.
Many applications areas have adopted the methods of multiple classifier fusion to increase …

In this paper, an off-line method, based on hidden Markov model, HMM, is used for holistic
recognition of handwritten words of a limited vocabulary. Three feature sets based on image …

We present in this paper a system of Amazigh handwriting recognition based on horizontal
and vertical centerline of the character. After the image preprocessing, the text is segmented …

Optical character recognition (OCR) includes three main sections, pre-processing, feature
extraction and classification. The purpose of the pre-processing is to remove noise, smooth …

Tifinagh-IRCAM is the official alphabet of the Amazigh language which is widely used in
North Africa. Being normalized recently in 2001, Tifinagh remains a young alphabet and …

Arabic optical character recognition (OCR) has been an active field of research for decades.
Yet, it has limited application domains constrained to printed text. This is partly due to high …

This paper proposes a new classification method for Farsi handwritten word recognition
using gradient and gradient based features. The extracted feature vectors were classified …

Handwritten word recognition (HWR) is very important in document analysis and retrieval. In
this paper, an off-line handwritten recognition system for Persian manuscript is introduced …