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Comparison Between Shape-Based And Area-Based Features Extraction For Java Character Recognition

Adipranata, Rudy and Satiabudhi, Gregorius and Liliana, and Sebastian, Bondan (2015) Comparison Between Shape-Based And Area-Based Features Extraction For Java Character Recognition. In: The 2nd Management and Innovation Technology International Conference (MITiCON2015), 16-11-2015 - 16-11-2015, Bangkok - Thailand.

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        Abstract

        Java language is one of the local languages are widely used in Indonesia. Java language is widely used by resident of the island of Java. Java language has special character called Java character. In this research we compare features extraction which will be used to perform the recognition of Java character. The accuracy of recognition is greatly affected by accuracy of features extraction. Because if there are a lot of similar features between one character with other characters, may cause the system to recognize as the same characters. In this research we compare between shape-based features and area-based features. Shape-based features consist of curves, lines and loop composing a Java character. The number of curves, lines and loop will vary between characters with other characters. For area-based features extraction, each character divide into 9x9 equal regions. In each region, the number of pixels will be calculated. From experimental results, area-based features extraction gives better result than shape-based features extraction. This experiment is done by using probabilistic neural network (PNN) as a method of recognition. By using shape-based features extraction, the system only has recognition accuracy below 20%, but using area-based features extraction, the recognition accuracy can achieve more than 60%.

        Item Type: Conference or Workshop Item (Paper)
        Uncontrolled Keywords: Shape-based feature extraction, area-based feature extraction, probabilistic neural network
        Subjects: Q Science > QA Mathematics > QA76 Computer software
        Divisions: Faculty of Industrial Technology > Informatics Engineering Department
        Depositing User: Admin
        Date Deposited: 20 Apr 2016 00:52
        Last Modified: 23 Dec 2019 09:45
        URI: http://repository.petra.ac.id/id/eprint/17407

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