Universiti Teknologi Malaysia Institutional Repository

Performance analysis of a proposed smoothing algorithm for isolated handwritten characters

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)

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Official URL: http://inderscience.metapress.com/content/u8113716...


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.

Item Type:Article
Uncontrolled Keywords:smoothing, handwriting recognition, direction vector encoding, feature extraction
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:38193
Deposited On:14 May 2014 13:14
Last Modified:15 Feb 2017 09:46

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