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All Journal CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications
Wikaria Gazali
Mathematics and Statistics Department, School of Computer Science, Bina Nusantara University Jl. KH. Syahdan No. 9, Jakarta 11480, Indonesia
Computer Science & IT Engineering Mathematics

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THE IDENTIFICATION OF EAR PRINTS USING COMPLEX GABOR FILTERS Gunawan, Alexander A S; Kurniaty, Heni; Gazali, Wikaria
CommIT (Communication and Information Technology) Journal Vol 6, No 1 (2012): CommIT Vol. 6 No. 1 Tahun 2012
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v6i1.567

Abstract

Biometrics is a method used to recognize humans based on one or a few characteristicsphysical or behavioral traits that are unique such as DNA, face, fingerprints, gait, iris, palm, retina,signature and sound. Although the facts that ear prints are found in 15% of crime scenes, ear printsresearch has been very limited since the success of fingerprints modality. The advantage of the useof ear prints, as forensic evidence, are it relatively unchanged due to increased age and have fewervariations than faces with expression variation and orientation. In this research, complex Gaborfilters is used to extract the ear prints feature based on texture segmentation. Principal componentanalysis (PCA) is then used for dimensionality-reduction where variation in the dataset ispreserved. The classification is done in a lower dimension space defined by principal componentsbased on Euclidean distance. In experiments, it is used left and right ear prints of ten respondentsand in average, the successful recognition rate is 78%. Based on the experiment results, it isconcluded that ear prints is suitable as forensic evidence mainly when combined with otherbiometric modalities.Keywords: Biometrics; Ear prints; Complex Gabor filters; Principal component analysis;Euclidean distance
Sistem Kontrol Akses Berbasis Real Time Face Recognition dan Gender Information Nurmala, Putri; Gazali, Wikaria; Budiharto, Widodo
ComTech: Computer, Mathematics and Engineering Applications Vol 6, No 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2264

Abstract

Face recognition and gender information is a computer application for automatically identifying or verifying a person's face from a camera to capture a person's face. It is usually used in access control systemsand it can be compared to other biometrics such as finger print identification system or iris. Many of face recognition algorithms have been developed in recent years. Face recognition system and gender information inthis system based on the Principal Component Analysis method (PCA). Computational method has a simple and fast compared with the use of the method requires a lot of learning, such as artificial neural network. In thisaccess control system, relay used and Arduino controller. In this essay focuses on face recognition and gender - based information in real time using the method of Principal Component Analysis ( PCA ). The result achievedfrom the application design is the identification of a person’s face with gender using PCA. The results achieved by the application is face recognition system using PCA can obtain good results the 85 % success rate in face recognition with face images that have been tested by a few people and a fairly high degree of accuracy.
Co-Authors Alexander A S Gunawan, Alexander A S Heni Kurniaty, Heni Nurmala, Putri Widodo Budiharto