Feature Extraction Comparison in Handwriting Recognition of Batak Toba Alphabet

Pasaribu, Novie Theresia Br. and Hasugian, Meilan Jimmy (2017) Feature Extraction Comparison in Handwriting Recognition of Batak Toba Alphabet. International Journal of Information Technology and Electrical Engineering, 1 (3). pp. 86-92. ISSN 2550-0554

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Abstract

Offline handwriting recognition is one of the most prominent research topics due to its tremendous application and high variability as well. This paper covers the offline Batak Toba handwritten text recognition, from the noise removal, the process of feature extraction until the recognition by using several classifiers. Experiments show that elliptic fourier descriptor (EFD) is the most discriminative feature and Mahalanobis distance (MD) outperforms the two others classifier.

Item Type:	Article
Contributors:	Contribution Contributors NIDN/NIDK Email UNSPECIFIED Pasaribu, Novie Theresia Br. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hasugian, Meilan Jimmy UNSPECIFIED UNSPECIFIED
Uncontrolled Keywords:	Batak Toba Alphabet, handwriting recognition, feture extraction, classification
Subjects:	T Technology > T Technology (General)
Depositing User:	Perpustakaan Maranatha
Date Deposited:	25 Mar 2023 13:39
Last Modified:	25 Mar 2023 13:39
URI:	http://repository.maranatha.edu/id/eprint/31545

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