Verifikasi Telapak Tangan dengan Multimodal Biometrik Fermat’s Spiral
The use of biometrics in various issues of data security, transactions, privacy has been widely used. Regarding security, surely the level of accuracy in one's self-recognition must be accurate. The palmprint is one of biometrics which has various unique characteristics. These characteristics include geometrical features such as length, width, and area of the palmprint, characteristics of main lines such as heart lines, headlines, and lifelines, tangled or weak lines, delta dot characteristics, and minus characteristics. Main lines and tangled lines, which are often referred to as line features, have several advantages over other biometric features, such as they can be obtained from low-resolution images, are difficult to duplicate, and are stable because they have experienced slight changes over a long period of time. This research introduces the method of Fermat's Spirals in the extraction of the features of the palmprint which are represented in the time series curve. Testing uses 450 palm images sourced from 50 people, each person taken 9 palmprint images where 5 images as a test image and 4 images as a reference image. The test is carried out based on the threshold value determined from the simulation results based on matching test images with reference images on the ROC graph. Based on the test results it can be concluded that the system shows high performance at a threshold value of 0.036 to get an FNMR value of 2.80%, FMR of 0.88% with an accuracy of 96.31% where the number of reference images to the test image affects the level of accuracy.
Putra, D., 2009. Sistem Biometrika: Konsep Dasar, Teknik Analisis Citra, dan Tahapan Membangun Aplikasi Sistem Biometrika. 1st ed.Yogyakarta: C.V.Andi Offset.
Agus A., Darma P., Agung C., 2013. Palmprint Verification Using Time Series Method. TELKOMNIKA, 11(4), pp.749-758. doi: 10.12928/telkomnika.v11i4.1187
Putra, IKGD., Bhuana, W., Erdiawan, 2011. Pembentukan Kode Telapak Tangan (Palm Code) Berbasis Metode Gabor 2D. Makara Teknologi, 15(2), pp.161-167.
Darma Putra, 2013.Palmprint Feature Representation Using Fractal Characteristic.Journal of Theoretical and Applied Information Technology,53(2), pp. 274-282.
Sasidhar,K., Vijaya L.K., Ramakrishna, K., Kailasa Rao,K., 2010. Multimodal Biometric Systems-Study To Improve Accuracy and Performance. Internasional Journal of Computer Science & Engineering Survey. 1(2), pp. 54-61.
Sanjekar, P.S., Patil, J.P., 2013, An Overview of Multimodal Biometrics. Signal & Image Processing : An Internasional Journal, 4(1), pp. 57-64.
Zhang, D., Kanhangad, V., Luo, Nan., Kumar, K., 2010. Robust Palmprint Verification Using 2D and 3D Features. Pattern Recognition, 43(1), pp. 358-368. doi: 10.1016/j.patcog.2009.04.026
Chen, Jian-Sheng., Moon,Yiu-Shang., Yeung,Hoi-Wo. 2005.Palmprint Authentication Using Time Series. Departement of Science and Engineering The Chinese University of Hongkong, ABNPA 2005, pp. 376-385.
Darma Putra, IKG., Erdiawan, 2010. High Performance Palmprint Identification System Based On Two Dimensional Gabor.Telkomnika Indonesian Journal of Electrical Engineering, 8(3), pp. 309-318.
Jialiang Peng, Ahmed A.Abd E.,Qiong Li, Xiamu Niu. 2014. Multimodal Biometric Authentication Based on Score Level Fusion of Finger Biometrics. Optik, pp. 6891-6897.
WU Xiang-Quan, Kurang-Quan W, David Zhang., 2004. An Approach to Line Feature Representation and Matching for Palmprint Recognition. Journal of Software, 15(6), pp. 869-880.
Encyclopedia Britania, Inc. 1998. Fermat’s Spiral[Online](Update 08 Jan 2019) Tersedia di : https://www.britannica.com/science/Fermats-spiral. [Accessed 14 April 2019]
Mathematische Basteleien. 2002. Spiral [online] (Update Juni 2002) Tersedia di : http://www.mathematische-basteleien.de/spiral.htm [Accessed 14 April 2019]
Lin, CL., Wang, SH., Cheng HS., Fan, KC., Hsu, WL., Lai CR., 2015. Bimodal Biometric Verification Using the Fusion of Palmprint and Infrared Palm-Dorsum Vein Images. Sensors. 15(12), pp. 31339-31361. doi: 10.3390/s151229856
Charfi, N., Trichili, H., Alimi, A., 2016. Bimodal Biometric System for Hand Shape ang Palmprint Recignition Based on SIFT Sparse Representation. Springer, 76(20), pp. 20457-20482. doi: 10.1007/s11042-016-3987-9
Modak, SKS., Jha, VK., 2018. Multibiometric fusion strategy and its applications: A review. Information Fusion, 49(2019), pp. 174-204. doi: 10.1016/j.inffus.2018.11.018
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