VERIFIKASI AKUN DATABASE DENGAN PENERAPAN METODE TEMPLATE MATCHING PADA KARATERISTIK WAJAH PERSONAL

Ginting Pebrindanov, Widi Hapsari, Yuan Lukito

Abstract


The identification of account is a step to keep the important data secure. Nowadays, it can be done by using username and password, but, after see the reality, the using of username and password can’t keep the data secure from the thief. Because of that, the  verification of the characteristic of personal face can be a solution to change the using username and password. The method that can be used for verification is template matching.It is implemented in four features of personal face, such as left eye, right eye, nose and lips. The four images of  each feature will be extracted with wavelet haar method. The feature extraction will be done during template taking process and verification. The result of this research, the result of verification is determined by two factors,  such as the distance between face and web camera is different when the template taking process and the verification process and the diferrent brightness condition when the template taking process and the verification proccess. The threshold value that has been decided is not really able to block the unregistered data.  Then the accuracy of the verification activity is still low and it is still not able yet to identify an account well.

Keywords


template matching, four features of personal face, wavelet haar, feature extraction, template taking proccess, verification, euclidean distance, threshold value

Full Text:

PDF

References


Aljarrah, I., Ghorab, S., & Khater, I. (2012). Object Recognition System Using Template

Matching Based On Signature and Principal Component Analysis. International

Journal of Digital Information and Wireless Communications , 156 - 163.

Basuki, A., Palandi, J., & Fatchurrochman. (2005). Pengolahan Citra Digital

Menggunakan Visual Basic. Yogyakarta: Graha Ilmu.

Buyung, J., Usman, K., & Novamizanti, L. (2011). Desain dan Simulasi Sistem

Dokumentasi Tugas Akhir Otomatis Menggunakan WebCam Berbasis Image Processing dan K-Nearest Neighbors. Jurusan Teknik Elektro - Institut Teknologi Telkom .

Gonzalez, R., & Woods, R. (2007). Digital Image Processing Third Edition. Prentice

Hall.

Hartanto, S., Sugiharto, A., & Endah, S. (2012). Optical Character Recognition

Menggunakan Algoritma Template Matching Correlation. Journal of Informatics And Technology , I, 11 - 20.

Joshi, K. (2013). A Template Matching and Support Vector Machine Based Approach for

Human Eye Localization and Verification. International Journal For Advance Research In Engineering And Technology , I (VI).

Leksono, B., Hidayatno, A., & Isnanto, R. (2011). Aplikasi Metode Template Matching

untuk Klasifikasi Sidik Jari. TRANSMISI , 1 - 6.

Lidya, S. (2012). Implementasi dan Analisis Kinerja Algoritma Arithmetic Coding dan

Shannon-Fano Pada Kompresi Citra Bmp,(Skripsi S1, Universitas Sumatera Utara,2012),dari http://repository.usu.ac.id/handle/123456789/37738.

Mulyawan, H., Samsono, M., & Setiawardhana. (2011). Identifikasi Dan Tracking Objek

Berbasis Image Processing Secara Real Time. EEPIS Final Project .

Putra, D. (2010). Pengolahan Citra Digital. Yogyakarta: C.V.Andi OFFSET.

Rahman, M., & Wasista, S. (2010). Sistem Pengenalan Wajah Menggunakan Webcam

Untuk Absensi Dengan Metode Template Matching. EEPIS Final Project .

Rijal, Y., & Ariefianto, R. (2008, Juni 21). Deteksi Wajah Berbasis Segmentasi Model

Warna Menggunakan Template Matching Pada Objek Bergerak. Seminar Nasional Aplikasi Teknologi Informasi 2008 (SNATI 2008) .

S.D, Jadhav., A.B, Barbadekar., & S.P, Patil. (2011). Euclidean Distance Based

Fingerprint Matching. NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications , Pages 148-153.

Santi, C. (2011). Mengubah Citra Berwarna Menjadi GrayScale dan Citra Biner. Jurnal

Teknologi Informasi Dinamik , 16.

Shih, F. (2010). Image Processing And Pattern Recognition Fundamentals And

Techniques. New Jersey: John Wiley & Sons, Inc., Hoboken.

Zhou, H., Wu, J., & Zhang, J. (2010). Digital Image Processing Part I. Bookboon.




DOI: http://dx.doi.org/10.21460/inf.2015.111.427

Refbacks

  • There are currently no refbacks.


Bookmark and Share