Arabic Optical Text Recognition: A Classified Bibliography
نویسندگان
چکیده
منابع مشابه
On Optical Character Recognition of Arabic Text
Although, optical character recognition has made tremendous achievements in the area of desktop publishing, yet a huge amount of work is required to be done. Unlike Roman like languages, there are various languages possessing a large number of fonts and/or having complicated shapes. Arabic language is one of those languages, which is somewhat complicated in its construction. Although a reasonab...
متن کاملArabic Text Recognition System
This paper describes a system for the recognition of Arabic text in document images. The system is designed to perform well on low resolution and low quality document images. On a set of 138 page images digitized at 200x200 dpi the system achieved a 93% correct character recognition rate. On the same pages digitized at 100x200 dpi, the system achieved an 89% character recognition rate. The syst...
متن کاملArabic Text Recognition
The issue of handwritten character recognition is still a big challenge to the scientific community. Several approaches to address this challenge have been attempted in the last years, mostly focusing on the English pre-printed or handwritten characters space. Thus, the need to attempt a research related to Arabic handwritten text recognition. Algorithms based on neural networks have proved to ...
متن کاملOffline Arabic Text Recognition System
Optical character recognition (OCR) systems provide human-machine interaction and are widely used in many applications. Much research has already been done on the recognition of Latin, Chinese and Japanese characters. Against this background, it has been experienced that only few papers have specifically addressed to the problem of Arabic text recognition and languages using Arabic script like ...
متن کاملAdvances In Arabic Text Recognition
This paper describes improvements to a system that recognizes Arabic and Farsi text in low− quality, low−resolution, binary document images. Performance advances reflected in the current system largely result from the introduction of ensembles of decision trees as the base recognizer and the development of a new methodology for training tree ensembles that relies on boosting in the sample space...
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ژورنال
عنوان ژورنال: ERJ. Engineering Research Journal
سال: 2000
ISSN: 1110-1180
DOI: 10.21608/erjm.2000.71196