A GSA- BASED METHOD IN HUMAN IDENTIFICATION USING FINGER VEIN PATTERNS
R. Mahalakshmi
, Mr. R.Purushothaman
Biometric, Finger Vein, MATLAB
Biometric and multi biometric science play an important role in human authentication systems. Among many types of biometric model finger vein pattern is one of the most reliable and secure biometrics due to its invariability and safety from stealth. Since there are so much of algorithms carried out in our existing system, SVM (support vector machine) used for human authentication which has the ability to achieve maximal computational efficiency, fast spatiotemporal and has the ability to classify human motion patterns. However there are so many algorithms carried out for identification fingerprint faces some disadvantages such as sensibility to noise and spoof attack, here SVM requires large amount of training data to identify. To overcome this, thus proposing a system using heuristic method and gravitational search algorithm had advantages of solving non differentiable and multimodal problems effectively, requires less computation. The Gravitational Search Algorithm is based on Newton’s law of GRAVITY and MOTION .The performance is evaluated using FAR, FRR, EER.
"A GSA- BASED METHOD IN HUMAN IDENTIFICATION USING FINGER VEIN PATTERNS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.176 - 182, March-2017, Available :https://ijsdr.org/papers/IJSDR1703027.pdf
Volume 2
Issue 3,
March-2017
Pages : 176 - 182
Paper Reg. ID: IJSDR_170113
Published Paper Id: IJSDR1703027
Downloads: 000347223
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
