Japar, Japar and Nugroho, Anto S. and Purnama, James (2015) Development of Facial Sketch Recognition System Based on Digital Face Images. Bachelor thesis, Swiss German University.

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Abstract

There are many cases of criminal where some biometrics factors difficult to be identified and the photo image of a suspect is not available. Therefore, facial sketch recognition system to identify suspects face from sketches is very important to assist the process of investigation. Main purpose of this research is to get the best facial sketch recognition system by comparing the ROC (Receiver Operating Characteristics) curve using local-feature based approach and appearance-based approach. Based on the experiments, the ROC curve proves that local-feature based approach using LFDA framework (Klare et al. 2011) show better recognition result with less error rate than appearance-based approach. Local-feature based implemented inside facial sketch recognition system return between 85% to 90% accuracy rate against good quality viewed sketches.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Biometrics; Facial Sketch Recognition; Eigenface; Fisherface; Local Feature-based Discriminant Analysis; Scale Invariant Feature Transform; Multi-scale Local Binary Pattern Histogram
Subjects:	T Technology > T Technology (General) > T58.5 Information technology T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition (Computer science) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882 Biometric identification
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Atroridho Rizky
Date Deposited:	20 Jan 2021 14:51
Last Modified:	20 Jan 2021 14:51
URI:	http://repository.sgu.ac.id/id/eprint/1715

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