off line Arabic character recognition
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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Study of Different Off line Handwritten Character Recognition Algorithms for Various Indian Scripts
... Handwritten recognition is an area of research where many researchers have presented their work and is still an area under research to achieve higher ...as off-line handwritten text ...
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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 information (a ...
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Offline arabic character recognition using genetic approach
... first line segmented from paragraph ,(d) image of second line segmented from paragraph ,(e) image of third line segmented from paragraph, (f) image of fourth line segmented from ...
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Optical Character Recognition of Printed Persian/Arabic Documents
... are different. The effect of this process is that all the neighboring characters will be merged into words, and words into text lines, and text lines into paragraphs depending on the value of the specified threshold and ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... on-line Arabic handwritten characters ...the character on an exclusive window on the screen, and then the coordinates of the pixels forming the character is acquired and saved in a special ...
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On line Handwritten Arabic Character Recognition using Artificial Neural Network
... of Arabic character recognition but with limited success, this is due to the complexity of Arabic characters and lack of public Arabic handwriting ...databases. Arabic alphabet ...
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Recognition image obtained by camera phone of character Arabic
... Convolutional networks are derived from perceptron architectures Multi Layer Perceptron (MLP), however they use shared weights, related to the convolution window, which allow them an implicit extraction of local ...
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Recognition of On-line Handwritten Arabic Digits Using Structural Features and Transition Network
... The recognition process starts when getting a sequence of points from the user and then by using these points to extract the structural ...of line segments and ...62 character classes (digits, ...
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Segmentation Accuracy for Offline Arabic Handwritten Recognition Based on Bounding Box Algorithm
... Optical character recognition (OCR) is a research field in pattern recognition, artificial intelligence and computer ...and off-line ...
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Off-line Arabic Character-Based Writer Identification – a Survey
... optical character recognition systems, which it categorized as following [18]: Low-level: (Edge detection, Corner detection, Blob detection, Ridge detection, Scale-invariant feature transform), Curvature: ...
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Handwritten Devanagari Lipi using Support Vector Machine
... Awaida, “Recognition Of Off-Line Handwritten Arabic Indian Numerals Using Multi-Scale Features And Support Vector Machines Vs.Hidden Markov Models” The Arabian Journal For Science And En[r] ...
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A Novel Vector Quantization Approach to Arabic Character Recognition
... of Arabic fonts; ...In Arabic, some letter pairs may be combined together to form another letter, that is often referred to as a ...Optical Character Recognition (OCR) ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... an off-line handwritten Arabic recognition system based on decision fusion approach and HMM Toolkit (HTK) and we have described several methods of combining multiple classifiers HMMs of ...
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A Divide And Conquer Method For Arabic Character Recognition
... Haraty and Ghaddar (2003) propose the use of two neural networks to classify previously segmented characters. Their method uses a skeleton representation and structural and quantitative features such as the number and ...
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Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten
... 3.2.2 Nearest Neighbour classifier In pattern recognition, the k-nearest neighbour algorithm is used for classifying the characters based on neighbourhood in the feature space. Different types of Nearest Neighbour ...
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Accuracy Evaluation of Arabic Optical Character Recognition Voting Technique: Experimental Study
... as well as eighteen other international languages (English, Czech, Danish, Dutch, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, and Turkish). It ...
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Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition
... A straightforward alternative which we advo- cate in this paper is to use the available informa- tion to rerank the hypotheses in the n-best lists. The new top ranked hypothesis is considered as the new output of the ...
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Handwritten Hindi Text Segmentation Techniques for Lines and Characters
... the Line segmentation as shown in the figure 1a, ...header line is a challenge because of skew in ...header line by finding the row with maximum pixel density, but it cannot work for skew variable ...
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Fine Classification & Recognition of Hand Written Devnagari Characters with Regular Expressions & Minimum Edit Distance Method
... Data used for the present work was collected from different individuals. From experiments we noted that the overall recognition accuracy of the proposed scheme for characters is 82% for 50 writers. Experiment has ...
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