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The recognition of text in natural scene images is a practical yet challenging task due to the large variations in backgrounds, textures, fonts, and illumination.
Saad Bin Ahmed, Imran Razzak, Saeeda Naz
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Recognition of cursive Arabic handwritten text using embedded training based on HMMs
In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models ...
Mahani Zouhir
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Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
Recognizing texts in video is more complex than in other environments such as scanned documents. Video texts appear in various colors, unknown fonts and sizes, often affected by compression artifacts and low quality. In contrast to Latin texts, there are
Rolf Ingold +2 more
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This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition ...
Bestoun S Ahmed, Umi Kalthum Ngah
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Offline Arabic text recognition system
2003 International Conference on Geometric Modeling and Graphics, 2003. Proceedings, 2003Optical 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 ...
Muhammad Sarfraz 0001 +2 more
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Offline arabic handwritten text recognition
ACM Computing Surveys, 2013Research in offline Arabic handwriting recognition has increased considerably in the past few years. This is evident from the numerous research results published recently in major journals and conferences in the area of handwriting recognition. Features and classifications techniques utilized in recent research work have diversified noticeably compared
Mohammad Tanvir Parvez, Sabri A. Mahmoud
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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
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ARASTI: A database for Arabic scene text recognition
2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR), 2017Text in natural scenes provides many information for peoples and presents an essential tool to interact with their environment. Therefore, recognizing text existing in camera-captured images has become an important issue for many researches in the last decades. Currently, there isn't any available dataset of Arabic script text images in the wild. Since
Maroua Tounsi +2 more
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Arabic hand-written text recognition
Proceedings ACS/IEEE International Conference on Computer Systems and Applications, 2002In this paper, I suggest a method to recognize Arabic handwritten text. First, I explain a single-step method for line thinning and introduce the concept of undetermined colour in order to reduce the neighbourhoods, which increases the program speed. Then I discuss the kinds of different critical points which help us in distinguishing one letter from ...
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Arabic text recognition using neural networks
Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94, 2002Recognizing multi-font Arabic texts is a difficult task in the area of optical character recognition (OCR) because Arabic is a cursive type language. This paper proposes a hybrid Arabic character recognition system based on Moment Invariants employing an Artificial Neural Network classifier.
Majid M. Altuwaijri, Magdy A. Bayoumi
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