Aplikasi Identifikasi Wajah Berbasis Android
Abstract
Identification technology has been widely developed today, such as fingerprint identification, palms and face. Identification is the determination of a person's identity and the process of identifying is an activity in determining or establishing a person's identity. Development of this identification technology has been applied to various devices one of them on Android based smartphone. Most of the development of Android based identification is still use storage technology on the device itself. The Eigenface method is used to extract the relevant information from a face image, then convert it into the most efficient set of codes and the code is compared to the code from the properties it has stored in the database. Face Identification Application Android Based is built by using storage technology on the server (MySQL) and also use the Eigenface Method. The success rate of face identification test results was 68% and the false accept rate of 32%, of the total trial was 25 times identification. Some important factors that influence the success rate of identification are the position of the face and the intensity of light during enrollment.
Downloads
References
[2] I Ketut Gede Darma Putra, “High Performance Palmprint Identification System Based On Two Dimensional Gabor,” TELKOMNIKA, vol. 8, no. 1, pp. 309–318, 2010.
[3] Dwi Rusjayanthi, “Deviasi, dan K-Means Clustering,” Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, vol. 4, no. 2, pp. 265–276, 2013.
[4] Prof .T Venkat Narayana Rao, D Vishal Reddy, and Rutwik V Jangam, “Face Detection E-Attendence System,” International Journal Computer Trends and Technology, vol. 27, no. 3, pp. 152–155, 2015.
[5] IG. P. Fajar Pranadi. Sudhana, “Sampul dan Moment,” Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, vol. 4, no. 2, pp. 277–288, 2013.
[6] Rajesh Kumar Gupta and Umesh Kumar Suhu, “Real Time Face Recognition under Different Conditions,” International Journal of Advance Research in Computer Science and Software Engineering, vol. 3, no. 1, pp. 86–93, 2013.
[7] Thuseethan, S. and Kuhanesan, S., “Eigenface Based Recognition of Emotion Variant Faces,” The International Institute for Science, Technology and Education, vol. 5, no. 7, pp. 31–38, 2014.
[8] Rajib Saha and Debotosh Bhattacharjee, “Face Recognition Using Eigenfaces,” International Journal of Emerging Technology and Advanced Engineering, vol. 3, no. 5, pp. 90–93, 2013.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, the copyright of the article shall be assigned to Jurnal Lontar Komputer as the publisher of the journal. Copyright encompasses exclusive rights to reproduce and deliver the article in all forms and media, as well as translations. The reproduction of any part of this journal (printed or online) will be allowed only with written permission from Jurnal Lontar Komputer. The Editorial Board of Jurnal Lontar Komputer makes every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal.
This work is licensed under a Creative Commons Attribution 4.0 International License.
