Results 251 to 260 of about 42,160,654 (280)

Printed Arabic Text Recognition

2012
This chapter addresses automatic printed Arabic text recognition. Arabic text recognition has its own difficulties due to the cursive nature of the scripts, overlapping characters, large number of dots and diacritics, etc. In this chapter, we present a general framework for a printed Arabic text recognition system.
Irfan Ahmed, Sabri A. Mahmoud, Mohammed Tanvir Parvez   +2 more
openaire   +1 more source

Detection and Recognition of Arabic Text in Video Frames

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
The authors have developed an end-to-end system for Arabic text recognition in video frames. The end-to-end system consists of the steps for text-line detection, word segmentation and word recognition. In order to achieve high text recognition accuracy we propose a new scheme of integrated text detection-recognition scheme, where the true text-lines ...
Wataru Ohyama, Seiya Iwata, Tetsushi Wakabayashi, Fumitaka Kimura   +3 more
openaire   +2 more sources

Arabic ligatures: Analysis and application in text recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
The Arabic script allows the replacement of certain character sequences by more compact forms called ligatures. Such ligatures lack a systematic analysis despite their importance in Arabic text recognition research. In this paper, we present analysis of ligatures and compile a comprehensive list of Arabic ligatures.
Yousef Elarian, Irfan Ahmad 0001, Sameh Awaida, Wasfi G. Al-Khatib, Abdelmalek B. C. Zidouri   +4 more
openaire   +1 more source

Transfer Learning to improve Arabic handwriting text Recognition

2020 21st International Arab Conference on Information Technology (ACIT), 2020
In recent years, the leveraging of deep learning approaches allows a great progress in text recognition task. But they usually need a considerable amount of training examples to learn a new model. Therefore, lack of data can be an issue when developing a new recognition model, especially for handwriting Arabic text recognition where the lack of ...
Zouhaira Noubigh, Anis Mezghani, Monji Kherallah   +2 more
openaire   +1 more source

A Database for Offline Arabic Handwritten Text Recognition

2011
Arabic handwritten text recognition has not received the same attention as that directed towards Latin script-based languages. In this paper, we present our efforts to develop a comprehensive Arabic Handwritten Text database (AHTD). At this stage, the database will consist of text written by 1000 writers from different countries. Currently, it has data
Sabri A. Mahmoud, Irfan Ahmad 0001, Mohammad R. Alshayeb, Wasfi G. Al-Khatib   +3 more
openaire   +2 more sources

Recognition of printed Arabic text using neural networks

Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002
The main theme of the paper is the automatic recognition of Arabic printed text using artificial neural networks in addition to conventional techniques. This approach has a number of advantages: it combines rule based (structural) and classification tests; feature extraction is inexpensive; and execution time is independent of character font and size ...
Adnan Amin, Wathiq Mansoor
openaire   +1 more source

PC based offline Arabic text recognition system

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
Character recognition systems can contribute tremendously to the advancement of automation process and can improve the interaction between man and machine in many applications. In this paper we describe a PC based system for offline recognition of Arabic characters and numerals. The system is based on expressing the machine printed Arabic alpha-numeric
Abdelmalek B. C. Zidouri, Muhammad Sarfraz 0001, Syed Nazim Nawaz, Mohammed Jameel Ahmed   +3 more
openaire   +1 more source

SARAT-a system for the recognition of Arabic printed text

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 2003
Presents a new system for the automatic recognition of grabic printed text. The system is still under development. Here the concept of the so called SARAT-system is presented together with some very promising first results. The main features of the system are the segmentation into single characters through recognition, contour based features ...
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Multi-phase recognition of multifont photoscript Arabic text

[1990] Proceedings. 10th International Conference on Pattern Recognition, 2002
A new system for the recognition of a multifont photoscript Arabic text is introduced. The distinguishing feature of such text is that it is written cursively. This imposes an additional requirement of isolating each character or set of overlapping characters before recognition. The proposed system is composed of three interleaved phases.
Khaled El Gowely, Ossama El-Dessouki, Ahmed Nazif   +2 more
openaire   +2 more sources

Writer recognition of Arabic text by generative local features

2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010
The generative model of computer vision, along with local features represented by quantized Scale Invariant Feature Transform (SIFT) descriptors, are used to classify writers based on images taken of Arabic text documents. It is the first known application of the method to automated writer recognition. This statistically based approach does not exploit
John L. Woodard, Melissa A. Lancaster, Amlan Kundu 0003, Dan Ruiz, John Ryan   +4 more
openaire   +1 more source