Results 211 to 220 of about 107,810 (260)

Gujarati character recognition

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
This 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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Recognition of Arabic characters

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992
A 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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A Character-Recognition Study

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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The Victimizer: Recognition and Character

American Journal of Psychotherapy, 1975
A 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, 1974
Within 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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CHARACTER RECOGNITION BY SIGNATURE APPROXIMATION

International Journal of Pattern Recognition and Artificial Intelligence, 1994
This paper describes a new method for character recognition of typewritten text. The proposed approach is based on the approximation of character signatures by rational functions. Specifically, after the preprocessing operation, a separation procedure is applied to each character and its one-dimensional signatures are derived.
Nikos Papamarkos, Iraklis M. Spiliotis, Anastasios Zoumadakis   +2 more
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Recognition of Ethiopic braille characters

Proceedings of the International Conference on Management of Emergent Digital EcoSystems, 2012
This paper presents an approach for recognition of Ethiopic braille documents. We have used direction field tensor for noise removal and isolation of braille dots from their background. A new skewness correction technique, which exploits the horizontal direction nature of braille dots, is designed.
Miftah Hassen, Yaregal Assabie
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Recognition of handwritten characters — a review

Image and Vision Computing, 1986
Abstract In the quest to study human perception, the field of character recognition remains prominent. Research has progressed from early, cumbersome optical character readers used for the recognition of a limited set of individual characters to the present-day automatic recognition of handwritten cursive script.
Robert H. Davis, J. Lyall
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An Analog Method for Character Recognition

IEEE Transactions on Electronic Computers, 1961
A method for character recognition which is capable of an analog implementation has been studied by simulation on asymbols digital computer. In essence, this method involves maximizing the cross-correlation value between the unknown character and a set of average characters, there being one average character for each allowed character class. An average
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Character recognition without segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
A segmentation-free approach to OCR is presented as part of a knowledge-based word interpretation model. It is based on the recognition of subgraphs homeomorphic to previously defined prototypes of characters. Gaps are identified as potential parts of characters by implementing a variant of the notion of relative neighborhood used in computational ...
Jairo Rocha, Theodosios Pavlidis
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