Pengenalan sketsa wajah menggunakan principle component analysis sebagai aplikasi forensik

Face sketch recognition using principal component analysis for forensics application

*Endina Putri Purwandari orcid scopus  -  Department of Informatics, Universitas Bengkulu, Indonesia
Aan Erlansari orcid scopus  -  Department of Informatics, Universitas Bengkulu, Indonesia
Andang Wijanarko  -  Department of Informatics, Universitas Bengkulu, Indonesia
Erich Adinal Adrian  -  Department of Informatics, Universitas Bengkulu, Indonesia
Received: 17 Jul 2019; Revised: 20 Apr 2020; Accepted: 24 Apr 2020; Published: 31 Jul 2020; Available online: 5 May 2020.
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Section: Original Research Articles
Language: ID
Statistics: 317 72
Abstract
Recognition of human faces in forensics applications can be identified through the Sketch recognition method by matching sketches and photos. The system gives five criminal candidates who have similarities to the sketch given. This study aims to perform facial recognition on photographs and sketches using Principal Component Analysis (PCA) as feature extraction and Euclidean distance as a calculation of the distance of test images to training images. The PCA method was used to recognize facial images from pencil sketch drawings. The system dataset is in the form of photos and sketches in the CUHK Face Sketch database consists of 93 photos and 93 sketches, and personal documentation consists of five photos and five sketches. The sketch matching application to training data produces an accuracy of 76.14 %, precision of 91.04 %, and recall of 80.26 %, while testing with sketch modifications produces accuracy and recall of 95 % and precision of 100 %.
Keywords: sketch; face; principal component analysis; digital image; forensics

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