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All Journal IJITEE (International Journal of Information Technology and Electrical Engineering)
MEILAN JIMMY HASUGIAN
Program Studi Teknik Elektro, Universitas Kristen Maranatha
Electrical & Electronics Engineering

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Feature Extraction Comparison in Handwriting Recognition of Batak Toba Alphabet Novie Theresia Br Pasaribu; M. Jimmy Hasugian
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 3 (2017): September 2017
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2000.519 KB) | DOI: 10.22146/ijitee.31969

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.
Co-Authors Novie Theresia Br. Pasaribu