2018 IEEE International Conference on Imaging Systems and Techniques (IST) 2018
DOI: 10.1109/ist.2018.8577123
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Artificial database expansion based on hand position variability for palm vein biometric system

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Cited by 3 publications
(5 citation statements)
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“…In both cases, it is significantly more than in the previous work where the LBP approach was employed for the task of feature extraction. The previous result that was achieved was on the level between 92% and 96% based on the different approaches while using the LBP [ 31 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In both cases, it is significantly more than in the previous work where the LBP approach was employed for the task of feature extraction. The previous result that was achieved was on the level between 92% and 96% based on the different approaches while using the LBP [ 31 ].…”
Section: Resultsmentioning
confidence: 99%
“…The previous work on this system was focused on a deterministic approach using Local Binary Patterns (LBP) as an element for feature extraction along with feature parametrization based on an elastic deformation. As a result, the TPR of 97.69% was achieved [ 31 ]. Since then, the database was expanded greatly, and now, it is more appropriate to fit the neural network methods, which seems a reasonable solution to the biometric verification and recognition problems.…”
Section: Methodsmentioning
confidence: 99%
“…Biometrika merupakan teknologi pengenalan diri yang menggunakan bagian tubuh atau perilaku dari manusia [4]. Biometrika memiliki ciri kerja dengan mengukur karakteristik pembeda pada badan atau perilaku seseorang tersebut dengan membandingkan karakteristik yang sebelumnya telah disimpan pada suatu database [7]. Terdapat beberapa cara untuk biometrika umum yang sering dipakai untuk pengenalan diri, seperti sidik jari (fingerprint), selaput pelangi, (iris), wajah (face), suara (voice), tanda tangan (signature), geometri tangan (hand geometry) dan telapak tangan (palmprint) [8].…”
Section: Pendahuluanunclassified
“…Typically, the vein pattern images used for people recognition include zones of interest like fingers, [2][3][4] palmar region, [5][6][7] dorsum of hand, [8][9][10][11] forearm, and wrist. 12,13 Most of the hand vein recognition systems 4,6,[8][9][10][11][12][13][14] require four steps: (1) image acquisition, (2) preprocessing of digital images that define the region of interest (RoI), (3) feature extraction of hand pattern, and (4) classification/matching, as shown in Fig. 1.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, both techniques require high computational time. 18 On the other hand, the local binary pattern (LBP) 14,19 algorithm has been used for vein recognition, but whenever there are spatial and contrast changes during image acquisition, the performance of this description technique decreases. 19 Moment invariants also have been implemented for vein pattern description.…”
Section: Introductionmentioning
confidence: 99%