Individual Recognition System Through Face Identification Using Hidden Markov Model

7 Pages Posted: 25 Sep 2018

See all articles by Aris Tjahyanto

Aris Tjahyanto

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember

Nurul Hidayat

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember

Muhammad Luthfi Shahab

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember

Dieky Adzkiya

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember

Alvina Khairun Nisa

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember

Date Written: August 1, 2018

Abstract

Biometrics is a branch of applied mathematics that is used for the purposes of individual identification through fingerprint, retina eye, palm, voice or face. The example of biometrics application is the identification through individual faces. In this study, we use Hidden Markov Model (HMM) for face identification. The process consists of image retrieval, image preprocessing, block extraction, feature extraction, training process, and identification process. The testing images consist of 120 face images that are divided into two types: 80 images collected from non-moving objects and 40 images collected from moving objects (video). The highest accuracy is obtained from image of size 64 × 64 pixels with T = 59. The accuracy of the system w.r.t. training images is 98.13%, and the accuracy of the system with all testing images is 80.83%, consisting of 85.00% for the accuracy of the non-moving face and 72.50% for the moving face.

Suggested Citation

Tjahyanto, Aris and Hidayat, Nurul and Shahab, Muhammad Luthfi and Adzkiya, Dieky and Nisa, Alvina Khairun, Individual Recognition System Through Face Identification Using Hidden Markov Model (August 1, 2018). International Conference on Information Technology, Engineering, Science & its Applications. Available at SSRN: https://ssrn.com/abstract=3248108

Aris Tjahyanto (Contact Author)

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember ( email )

Jalan Mulyorejo Tengah No. 69
Surabaya, ID East Java 60111
Indonesia

Nurul Hidayat

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember ( email )

Jalan Mulyorejo Tengah No. 69
Surabaya, ID East Java 60111
Indonesia

Muhammad Luthfi Shahab

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember ( email )

Jalan Mulyorejo Tengah No. 69
Surabaya, ID East Java 60111
Indonesia

Dieky Adzkiya

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember ( email )

Jalan Mulyorejo Tengah No. 69
Surabaya, ID East Java 60111
Indonesia

Alvina Khairun Nisa

Institute of Technology Sepuluh Nopember (ITS) - Institut Teknologi Sepuluh Nopember ( email )

Jalan Mulyorejo Tengah No. 69
Surabaya, ID East Java 60111
Indonesia

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