Department of Informatics, Universitas Bengkulu, Indonesia
BibTex Citation Data :
@article{JTSISKOM13422, author = {Endina Putri Purwandari and Aan Erlansari and Andang Wijanarko and Erich Adinal Adrian}, title = {Pengenalan sketsa wajah menggunakan principle component analysis sebagai aplikasi forensik}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {8}, number = {3}, year = {2020}, keywords = {sketch; face; principal component analysis; digital image; forensics}, 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 %.}, issn = {2338-0403}, pages = {178--184} doi = {10.14710/jtsiskom.2020.13422}, url = {https://jtsiskom.undip.ac.id/article/view/13422} }
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