In this paper a public database for writer retrieval, writer identification and word spotting is
presented. The CVL-Database consists of 7 different handwritten texts (1 German and 6 …

In the context of Arabic optical characters recognition, Arabic poses more challenges
because of its cursive nature. We purpose a system for recognizing a document containing …

In this paper, we present multi-font printed Arabic text recognition using hidden Markov
models (HMMs). We propose a novel approach to the sliding window technique for feature …

This paper provides a thorough evaluation of a set of six important Arabic OCR systems
available in the market; namely: Abbyy FineReader, Leadtools, Readiris, Sakhr, Tesseract …

One of the most recent challenging issues of pattern recognition and artificial intelligence is
Arabic text recognition. This research topic is still a pervasive and unaddressed research …

Abstract The Multi-Layered Echo-State Network (ML-ESN) is a recently developed, highly
powerful type of recurrent neural network. It has succeeded in dealing with several non …

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 …

It is a widely accepted fact that data representations intervene noticeably in machine
learning tools. The more they are well defined the better the performance results are …

In this paper, we propose a method for recognizing English characters in different fonts. The
proposed method based on neural network is resistant to font variant. When the samples in …

This paper describes the Arabic Recognition Competition: Multi-font Multi-size Digitally
Represented Text held in the context of the 12th International Conference on Document …