Arabic handwritten text recognition
An Arabic Baseline Estimation Method Based on Feature Points Extraction
... character recognition system such as character segmentation, detection and correction of skew and feature extraction ...for Arabic handwritten text is proposed based on analysis and extraction ...
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OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION
... in Arabic language which gives the importance of working in Arabic language to all ...with Arabic language serves working with other similar writing languages such as Farsi, Jawi, and ...fact, ...
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On line Handwritten Arabic Character Recognition using Artificial Neural Network
... people. Arabic presents one of the major worldwide document sources ...nature, Arabic text is written cursively, which makes its recognition more difficult than that of printed Latin or ...
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Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking
... From segmented words, a group of intensity features are extracted using 80 a sliding window applied on mirrored word image; 81 3 To apply the above features for word recognition using a [r] ...
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Segmentation Accuracy for Offline Arabic Handwritten Recognition Based on Bounding Box Algorithm
... character recognition (OCR) is a research field in pattern recognition, artificial intelligence and computer ...printed text the way so they can be electronically adjusted, inspected or stored more ...
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Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
... character recognition systems go through four stages: the pre-processing stage, which concerns the preparation of the document in terms of normalization and suppression of ...the text line segmentation ...
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Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language
... good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline ...
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Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
... Abuhaiba et al. (Abuhaiba et al., 1996) dealt with several problems related to the processing of binary images of handwritten text documents. First, by applying the chamfer distance transform to the thinned ...
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Component-based Segmentation of words from handwritten Arabic text
... ANDWRITTEN recognition plays essential roles in many applications, such as office automation, cheque verification, mail sorting, and a large variety of banking, business as well as natural human-computer ...
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Arabic Handwritten Alphanumeric Character Recognition using Fuzzy Attributed Turning Functions
... document recognition technology has advanced significantly, providing commercial products for the recognition of texts ...accurate Arabic handwritten OCR commercial product available in the ...
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A Multi Agent Approach to Arabic Handwritten Text Segmentation
... external segmentation approach. Moreover, our method is not only expected to resolve the shortcomings of the previous related methods but also to achieve better re- sults by avoiding under segmentation. This depends on ...
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Recognition of handwritten Arabic characters
... This online database contains the full-text of PhD dissertations and Masters’ theses of University of Windsor students from 1954 forward. These documents are made available for personal study and research purposes ...
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Approach for Arabic Handwritten Image Processing: Case of Text Detection in Degraded Documents
... binary handwritten documents : Haji et al [2] have proposed an unsupervised learning approach for noise removal from handwritten ...and recognition as a single optimization problem involving latent ...
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Recognition of Arabic handwritten words
... stage. Recognition engine used is Support Vector Machine; recognition rates are 89% without RFE and increase to ...for Arabic typewritten text. Recognition rates are 92-93% without and ...
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A review of Arabic text recognition dataset
... described Arabic OCR dataset with various types of data such as handwritten text, the printed text and the embedded ...the text recognition ...the Arabic domain for ...
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High-Quality Wavelets Features Extraction for Handwritten Arabic Numerals Recognition
... on Arabic handwritten digit recognition have been carried ...higher recognition rates. The recognition rate of SVM was found to be comparatively better than the k-NN (>10%) ...the ...
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Arabic Handwritten Word Recognition Using HMMs with Explicit State Duration
... unconstrained Arabic handwritten word recognition sys- tem based on segmentation-free approach and discrete HMMs with explicit state duration ...offline Arabic handwriting recognition ...
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Combining diverse systems for handwritten text line recognition
... The text lines on a whiteboard usually have no uniform skew along the whole line and the slant and size of the letters is not the same at the beginning and at the end of a ...the text line is split into ...
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Effect of the Classifier Training Set Size on Accuracy of Pattern Recognition
... classification recognition is Feed-Forward Back-Propagation network (FFBP) which is very simple and effective for ...pattern recognition, controlling, prediction, system identification, ...pattern ...
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Handwritten Devanagari Lipi using Support Vector Machine
... lipi.The recognition rate is highly depended on the ...best recognition rate with 4 ...and Handwritten Devnagari numerals ...for recognition of online Hindi ...the recognition of words, ...
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