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An Arabic optical character recognition system using recognition-based segmentation
Pattern Recognition, 2001 Optical character recognition (OC) systems improve human-machine interaction and are widely used in many areas. The recognition of cursive scripts is a difficult task as their segmentation suffers from serious problems.
Mohammed Bennamoun
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Third International Conference on Information Technology and Applications (ICITA'05), 2005
Data entry using a pen forms a natural, convenient interface especially for handheld devices, which are very common now. The large number of writing styles and the variability between them makes the problem of writer-independent handwriting recognition a challenging pattern recognition problem.
Suneeta Agarwal, Vikas Kumar
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Data entry using a pen forms a natural, convenient interface especially for handheld devices, which are very common now. The large number of writing styles and the variability between them makes the problem of writer-independent handwriting recognition a challenging pattern recognition problem.
Suneeta Agarwal, Vikas Kumar
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Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
Presents a two-stage classification procedure for the recognition of Thai characters. Two classifiers are used to initially classify the characters into different groups and then to classify the characters within each group. Both a backpropagation multi-layered perceptron and a discriminant analysis technique, called penalised discriminant analysis ...
Olivier Y. de Vel +2 more
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Presents a two-stage classification procedure for the recognition of Thai characters. Two classifiers are used to initially classify the characters into different groups and then to classify the characters within each group. Both a backpropagation multi-layered perceptron and a discriminant analysis technique, called penalised discriminant analysis ...
Olivier Y. de Vel +2 more
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Recognition of Arabic characters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992A statistical approach for the recognition of Arabic characters is introduced. As a first step, the character is segmented into primary and secondary parts (dots and zigzags). The secondary parts of the character are then isolated and identified separately, thereby reducing the number of classes from 28 to 18. The moments of the horizontal and vertical
H. Al-Yousefi, S. S. Upda
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BSSS Journal of Computer, 2022
Character recognition has numerous applications namely postal addresses, bank check amounts, documents, number plates, etc. Development of a recognition system is an emerging need for digitizing handwritten documents that use Tamil characters. Therefore, we created a prediction model to recognize Tamil characters, the model works based on the Deep ...
S Narmatha +3 more
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Character recognition has numerous applications namely postal addresses, bank check amounts, documents, number plates, etc. Development of a recognition system is an emerging need for digitizing handwritten documents that use Tamil characters. Therefore, we created a prediction model to recognize Tamil characters, the model works based on the Deep ...
S Narmatha +3 more
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Gujarati character recognition
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999This paper describes the classification of a subset of printed or digitized Gujarati characters. Gujarati belongs to the genre of Devanagri scripts from the Indian subcontinent. Very little work is found in the literature for recognition of Indian language scripts.
Sameer K. Antani, Lalitha Agnihotri
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IBM Journal of Research and Development, 1960
A study of the single-gap-scan approach to character recognition, using an IBM 650 for simulation, is reported. Ten specially designed digits were used in this study. Character recognition is discussed in terms of some simple concepts from n-dimensional geometry.
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A study of the single-gap-scan approach to character recognition, using an IBM 650 for simulation, is reported. Ten specially designed digits were used in this study. Character recognition is discussed in terms of some simple concepts from n-dimensional geometry.
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, 2010 Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing ...
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The Victimizer: Recognition and Character
American Journal of Psychotherapy, 1975A particular personality type, the victimizer, is an important component of destructive conflict. A victimizer syndrome includes a deep sense of deprivation and loss with a need for restitution, and a perception of the self as ineffectual in producing changes in his own life.
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A Use of Continuity in Character Recognition
IEEE Transactions on Systems, Man, and Cybernetics, 1974Within any given recognition class of handprinted characters, many pairs of characters are related to each other by continuous distortion. It has been usual to exploit this fact by using sequential recognition techniques that would not work if the predominant distortions were discontinuous.
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