Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

One of the challenges in recognizing handwritten texts is the individual style of writing. There
is the structural similarity of the different digits to each other in writing. Along with the …

Developing a standard database for offline handwriting recognition is an essential task. This
paper offers a novel comprehensive database for conducting research on offline Persian …

Numeral recognition is an important preliminary step for optical character recognition,
document understanding and others. Deep learning based numeral recognition models …

In this paper, we propose a robust and efficient feature set based on modified contour chain
code to achieve higher recognition accuracy of Persian/Arabic numerals. In classification …

This paper presents an important step towards the standardization of research works on
Optical Character Recognition in Persian language. It describes the formations of a standard …

The problem of handwritten digit recognition has long been an open problem in the field of
pattern classification and of great importance in industry. The heart of the problem lies within …

In this paper we present a technique for the automatic recognition of Arabic (Indian) bank
check digits based on features extracted by using the Log Gabor filters. The digits are …

” Informatique” se dit” Computer Science”(littéralement” science du calculateur”) en anglais,
et””(littéralement” technologie de l'information”) en arabe. Le mot en français est intéressant …

The aim of this paper is to propose a novel technique for Arabic/Farsi handwritten digit
recognition. We constructed an invariant and efficient feature set by combination of four …