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Feature Extraction for Java Character Recognition

Adipranata, Rudy and Liliana, and Indrawijaya, Meiliana and Satiabudhi, Gregorius (2015) Feature Extraction for Java Character Recognition. In: International Conference on Soft Computing, Intelligent System and Information Technology, 11-03-2015 - 14-03-2015, - .

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        Abstract

        Feature extraction is very important in the process of character recognition. A good feature of the character will increase the level of accuracy for the character recognition. In this research, the feature extraction experiment of Java characters is done, where those features could be used for Java character recognition later. Before performing the process of feature extraction, segmentation is performed to get each Java character in an image, and followed by skeletonization process. After skeletonization process, feature extraction is done including simple closed curve, straight lines and curve. Several experiments was done using various parameters and Java characters in order to obtain the optimal parameters. The experiment results of simple closed curve and straight line feature extraction are quite good, respectively reached 82.85% and 74.28%. However, the result of the curve detection is still not good, only reached 51.42%

        Item Type: Conference or Workshop Item (Paper)
        Uncontrolled Keywords: feature extraction, Java character, skeletonization
        Subjects: Q Science > QA Mathematics > QA76 Computer software
        Divisions: Faculty of Industrial Technology > Informatics Engineering Department
        Depositing User: Admin
        Date Deposited: 04 Jun 2015 02:58
        Last Modified: 18 Dec 2019 10:01
        URI: http://repository.petra.ac.id/id/eprint/17057

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