Results 241 to 250 of about 2,638,937 (286)
Some of the next articles are maybe not open access.
A Statistical Framework for Online Arabic Character Recognition
Cybernetics and Systems, 2016The widely-used PDAs, touch screens, tablet-PCs are alternatives to keyboards with the advantages of being more friendly, easy, and natural. A framework for Arabic online character recognition is developed. The framework integrates the different phases of online Arabic text recognition.
Sabri Mahmoud, Baligh M Al-Helali
exaly +2 more sources
Recognition of Arabic characters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992A statistical approach for the recognition of Arabic characters is introduced. As a first step, the character is segmented into primary and secondary parts (dots and zigzags). The secondary parts of the character are then isolated and identified separately, thereby reducing the number of classes from 28 to 18. The moments of the horizontal and vertical
H. Al-Yousefi, S. S. Upda
openaire +2 more sources
Character recognition of Arabic and Latin scripts
2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics, 2002The goal to produce effective optical character recognition (OCR) methods has led to the development of a number of algorithms. The purpose of these is to take the handwritten or printed text and to translate it into a corresponding digital form. The multitude requirements and developments are well represented in the literature (I.S.I. Abuhaiba et al.,
Hussain, F., Cowell, John, 1957-
openaire +3 more sources
High-performance Arabic character recognition
Journal of Systems and Software, 1998The design and development of any character recognition system aim to satisfy two goals. The first is to correctly recognize characters (recognition accuracy). The second is to minimize the execution time of the recognition process (recognition speed).
Jasir S. Alherbish, Reda A. Ammar
openaire +2 more sources
Intelligent system for Arabic character recognition
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009In this work, a new system for Arabic letter recognition is designed and implemented. New approaches for segmentation, processing, classification and hence recognition of characters and scripts are shown. The research concentrates on two important subjects: First, segmentation on the basis of word histogram and baseline estimation - a convenient ...
Khalid Saeed 0001 +2 more
openaire +1 more source
Off-line Arabic character recognition
Computer, 1992A personal computer-based Arabic character recognition system that performs three preprocessing stages sequentially, thinning, stroke segmentation, and sampling, is described. The eight-direction code used for stroke representation and classification, the character classification done at primary and secondary levels, and the contextual postprocessor ...
Habib Goraine +2 more
openaire +1 more source
Segmentation of Arabic Text into Characters for Recognition
2008One of the steps of character recognition systems is the segmentation of words/sub-words into characters. The segmentation of text written in any Arabic script is a most difficult task. Due to this difficulty, many systems consider sub-words instead of a character as the basic unit for recognition.
Noor Ahmed Shaikh +2 more
openaire +2 more sources
A recognition-based Arabic optical character recognition system
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002Optical character recognition systems improve human-machine interaction and are widely used in many government and commercial departments. After forty years of intensive research, OCR systems for most scripts are well developed. However, not for Arabic script. Since Arabic is a popular script, Arabic OCR systems should have great commercial value. Thus
A. Cheung +2 more
openaire +3 more sources
A system for Arabic character recognition
Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 2002In this paper, a method for automatic recognition of isolated characters is presented. In this system, the character matrix is circularly scanned, and the number of ON pixels around each circle is obtained and saved in a vector. A feedforward neural network is trained by backpropagation to recognize these vectors.
H.M.M. Hosseini, A. Bouzerdoum
openaire +1 more source

