A very large dataset of handwritten Farsi digits is introduced. Binary images of 102,352 digits
were extracted from about 12,000 registration forms of two types, filled by B. Sc. and senior …

Arabic characters are used in several languages other than Arabic, despite to this fact;
Arabic Character Recognition (ACR) has not received enough interests by researchers …

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 …

The major problem with machine printed Arabic character segmentation is the shape of the
letter depending on its location in the word. In this paper, a new machine printed Arabic …

In this paper, an off-line method, based on hidden Markov model, HMM, is used for holistic
recognition of handwritten words of a limited vocabulary. Three feature sets based on image …

The cursive nature of Arabic writing is the main challenge to Arabic Optical Character
Recognition developer. Methods to segment Arabic words into characters have been …

In this paper, we report on the use of characteristic loci features to cluster printed Farsi
subwords, based on their holistic shapes. This yields a pictorial dictionary that can be used …

Unlike many other languages, 18 out of 32 Farsi characters have dots appearing in groups
of one, two or three. Some of these letters share common primary shapes, differing only in …

In this paper, we present a new approach to offline OCR (optical character recognition) for
printed Persian subwords using wavelet packet transform. The proposed algorithm is used …

Character recognition of Farsi and Arabic texts as an open and demanding problem needs
to encounter sophisticated specifications of the characters such as their shapes, continuity …