Type of Material: | Thesis |
Title: | Palm Vein Image Recognition of Human Using Discrete Enhancement |
Researcher: | SARAVANAN, A |
Guide: | . |
Department: | Department of Electronics and Communication Engineering |
Publisher: | Bharath University, Chennai |
Place: | Chennai |
Year: | 2017 |
Language: | English |
Subject: | Engineering | Engineering and Technology | Engineering Electrical and Electronic | Electronics and Communication Engineering | Engineering and Technology |
Dissertation/Thesis Note: | PhD; Department of Electronics and Communication Engineering, Bharath University, Chennai, Chennai; 2017; D07EC013 |
Fulltext: | Shodhganga |
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035 | __ | |a(IN-AhILN)th_454858 |
040 | __ | |aBHAU_600073|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aSARAVANAN, A|eResearcher |
110 | __ | |aDepartment of Electronics and Communication Engineering|bBharath University, Chennai|dChennai|ein|0U-0446 |
245 | __ | |aPalm Vein Image Recognition of Human Using Discrete Enhancement |
260 | __ | |aChennai|bBharath University, Chennai|c2017 |
300 | __ | |dDVD |
502 | __ | |bPhD|cDepartment of Electronics and Communication Engineering, Bharath University, Chennai, Chennai|d2017|oD07EC013 |
520 | __ | |aThis project presents new approach to develop the appearance of palm vein verification that uses blood vessel patterns as a personal identifying factor. The proposed approach of the vein is hard for replacement, since veins are internal to the human body and the palm vein authentication technology offers a high level of accuracy. The palm-vein-based approach attempts to be more effectively accommodating the potential deformations, revolving and translational changes by encoding the orientation preserving features. An Image Analysis the technique for Vascular Pattern of Hand Palm, which in turn leads towards the Palm Vein Authentication of an individual. Near- Infrared Image a Palm Vein pattern is taken and passed through four different processes or algorithms to process the Infrared Image in such a way that the future authentication can be done accurately or almost exactly. These four different processes are: 1) Junction point algorithm. 2) Hand Geometry algorithm 3) Pose invariant algorithm 4) Calculati |
650 | __ | |aElectronics and Communication Engineering|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aEngineering |
653 | __ | |aEngineering and Technology |
653 | __ | |aEngineering Electrical and Electronic |
700 | __ | |a.|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/321499|yShodhganga |
905 | __ | |afromsg |
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