This paper presents the first Pashto text image database for scientific research and thereby
the first dataset with complete handwritten and printed text line images which ultimately …

This work presents state-of-the-art results on one of the complex datasets; known as KHATT.
The KHATT dataset shows complex patterns for Arabic handwritten text. We have achieved …

Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that
converts document images into machine-readable codes. In DIA systems, Optical Character …

Character recognition is the numerical conversion of images in typed, handwritten, or printed
format which allows a computer to recognize them. Bangla is one of the most complex …

This paper presents a new public offline database for Arabic/Latin printed and Arabic/Latin
handwriting text. The database was developed to be employed in performance evaluation …

This paper presents an end-to-end model of Deep Convolutional Recurrent Network
(DCRN) for recognizing offline handwritten Japanese text lines. The end-to-end DCRN …

This paper presents a hand-written character recognition comparison and performance
evaluation for robust and precise classification of different hand-written characters. The …

Standard databases play essential roles for evaluating and comparing results obtained by
different groups of researchers. In this paper, an Arabic Handwritten Text Images Database …

Research on handwriting recognition using deep learning method has been widely explore
by many researchers in the field of computer vision and machine learning. Many …

The goal of a writer adaptive handwriting recognition system is to build a model that
improves the recognition of a generic recognition model for a specific author. In this work, we …