PENGENALAN AKSARA LAMPUNG MENGGUNAKAN STRUCTURED SUPPORT VECTOR MACHINE

JAYANI, MEITA and Samsuryadi, Samsuryadi and Yunita, Yunita (2020) PENGENALAN AKSARA LAMPUNG MENGGUNAKAN STRUCTURED SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

This research develops an application to recognize Lampung Script images using Structured Support Vector Machine (SSVM) method and measures the accuracy of the recognition results. The process of recognizing Lampung Script uses three processes, they are preprocessing by binarizing, cropping, skeletonizing, and resizing; feature extraction process using zone method; and recognition process using SSVM method. This research uses 1000 parent letter images as input. The average value of the recognition accuracy of Lampung Script is 22,56% for each pair of training data and test data. The amount of data used will affect the results of the recognition, the more training data used in the training process, the greater recognition succes accuracy will be obtained.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Handwriting recognition, Lampung Script, Structured Support Vector Machine, zone-based feature extraction
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 8034 not found.
Date Deposited:	21 Sep 2020 04:38
Last Modified:	21 Sep 2020 04:38
URI:	http://repository.unsri.ac.id/id/eprint/35306

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