Palm Vein Recognition for Human Identification using NN
Mansi Manocha1, Parminder Kaur2
1Mansi Manocha, M.Tech Student, Department of ECE, PTU Chandigarh Engineering College, Landran Mohali (Punjab), India.
2Parminder Kaur, Associate Professor, Department of ECE, PTU Chandigarh Engineering College, Landran Mohali (Punjab), India.
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 140-143 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1411123713/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the ubiquitous network society, where individuals can easily access their information anytime and anywhere, people are also faced with the risk that others can easily access the same information anytime and anywhere. Because of this risk, personal identification technology, which can distinguish between registered legitimate users and imposters, is now generating interest. Currently, passwords, Personal Identification cards are used for personal identification. However, cards can be stolen, and passwords and numbers can be guessed or forgotten. To solve these problems, biometric authentication technology, which identifies people by their unique biological information, is attracting attention. Palm vein recognition is that it is not affected by dryness or roughness of skin or by physical injury on surface of the hand but sometimes the temperature and humidity can affect the quality of the captured image.
Keywords: Feature Extraction, Palm Vein Recognition System, NN.
Scope of the Article: Pattern Recognition