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)
Full text not available from this repository.
Official URL: http://inderscience.metapress.com/content/u8113716...
Abstract
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 |
| ID Code: | 38193 |
| Deposited By: | INVALID USER |
| Deposited On: | 14 May 2014 05:14 |
| Last Modified: | 15 Feb 2017 01:46 |
Repository Staff Only: item control page
