Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
This paper describes an online isolated character recognition system using advanced techniques of pattern smoothing and Direction Feature (DF) extraction. The composition of direction elements and their smoothing are directly performed on online trajectory, and therefore, are computationally efficie...
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Inderscience Enterprises
2010
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Online Access: | http://eprints.utm.my/id/eprint/38193/ http://inderscience.metapress.com/content/u81137167n5052t7/?genre=article&issn=1755-4950&volume=2&issue=3&spage=186 |
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my.utm.381932017-02-15T01:46:31Z http://eprints.utm.my/id/eprint/38193/ Performance analysis of a proposed smoothing algorithm for isolated handwritten characters Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib QA75 Electronic computers. Computer science This paper describes an online isolated character recognition system using advanced techniques of pattern smoothing and Direction Feature (DF) extraction. The composition of direction elements and their smoothing are directly performed on online trajectory, and therefore, are computationally efficient. We compare recognition performance when DFs are formulated using Smoothed Direction Vectors (SDV) and Unsmoothed Direction Vectors (UDV). In experiments, direction features from original pattern yielded inferior performance, whereas primitive sub-character direction features using smoothed direction-encoded vectors made significant difference. Recognition rates were improved by about 7% and 5% using SDV when compared with UDV and smoothed with Moving Average (MA) technique, respectively. Inderscience Enterprises 2010 Article PeerReviewed Zafar, Muhammad Faisal and Mohamad, Dzulkifli and Othman, Muhamad Razib (2010) Performance analysis of a proposed smoothing algorithm for isolated handwritten characters. International Journal of Artificial Intelligence and Soft Computing, 2 (3). pp. 186-198. ISSN 1755-4950 (Print); 1755-4969 (Electronic) http://inderscience.metapress.com/content/u81137167n5052t7/?genre=article&issn=1755-4950&volume=2&issue=3&spage=186 DOI:10.1504/IJAISC.2010.038638 |
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QA75 Electronic computers. Computer science Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib Performance analysis of a proposed smoothing algorithm for isolated handwritten characters |
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This paper describes an online isolated character recognition system using advanced techniques of pattern smoothing and Direction Feature (DF) extraction. The composition of direction elements and their smoothing are directly performed on online trajectory, and therefore, are computationally efficient. We compare recognition performance when DFs are formulated using Smoothed Direction Vectors (SDV) and Unsmoothed Direction Vectors (UDV). In experiments, direction features from original pattern yielded inferior performance, whereas primitive sub-character direction features using smoothed direction-encoded vectors made significant difference. Recognition rates were improved by about 7% and 5% using SDV when compared with UDV and smoothed with Moving Average (MA) technique, respectively. |
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Article |
author |
Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib |
author_facet |
Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib |
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Zafar, Muhammad Faisal |
title |
Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
|
title_short |
Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
|
title_full |
Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
|
title_fullStr |
Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
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Performance analysis of a proposed smoothing algorithm for isolated handwritten characters
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title_sort |
performance analysis of a proposed smoothing algorithm for isolated handwritten characters |
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Inderscience Enterprises |
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2010 |
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http://eprints.utm.my/id/eprint/38193/ http://inderscience.metapress.com/content/u81137167n5052t7/?genre=article&issn=1755-4950&volume=2&issue=3&spage=186 |
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13.160551 |