A Database for Arabic Handwritten Character Recognition

Abstract

This paper proposes an image database for Arabic handwritten character recognition (AHCR). In this paper, the Arabic handwritten images character database written by multi writers is proposed. This database is eligible for Arabic handwritten recognition research. The database contains the digital images of the Arabic alphabets written by 100 native Arabic writers. Each writer writes the Arabic letter 10 times on a form. All the forms were scanned using a high quality scanner. Earlier, all the Arabic characters were cropped form the forms. Therefore, the database contains 28000 images. These images were divided into two sets; 80% for training and 20% or testing. This database base will be freely available.