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 …

A comprehensive Arabic handwritten text database is an essential resource for Arabic
handwritten text recognition research. This is especially true due to the lack of such …

This paper presents the implementation of a new text document classification framework that
uses the Support Vector Machine (SVM) approach in the training phase and the Euclidean …

The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …

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

This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute
threshold selection for image segmentation. ABC is an evolutionary algorithm inspired by …

Sign language is an independent language that uses gestures and body language to
convey meaning. Sign language recognition facilities the communication between deaf and …

This study is focused on improving the recognition rate and processing time of facial
recognition systems. First, the skin is detected by pixel based methods to reduce the …

Handwritten digit recognition is an important but very hard practical problem. This is a
classification problem for which support vector machines are very successfully used …

Font recognition is useful for improving optical text recognition systems' accuracy and time,
and to restore the documents' original formats. This paper addresses a need for Arabic font …