Transient Overvoltages And Its Prevention And Protection
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : S.Brindha, N.Manikandaprabu, N.Gunasekar, A.Palanisamy
|DOI : 10.14445/22315381/IJETT-V68I3P206S|
MLA Style: S.Brindha, N.Manikandaprabu, N.Gunasekar, A.Palanisamy "A Perspective of Finger Vein Pattern based Testifying System" International Journal of Engineering Trends and Technology 68.3(2020):26-31.
APA Style:S.Brindha, N.Manikandaprabu, N.Gunasekar, A.Palanisamy. A Perspective of Finger Vein Pattern based Testifying System International Journal of Engineering Trends and Technology, 68(3),26-31.
Technological development helps us in acquiring and accessing digital data all-round the word. Maintaining high security and data confidentiality is a grueling task. In this paper, a finger vein pattern-based testifying system using Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel is proposed for securing digital data by verifying individuals identity. A six-stage process includes, filtering, enhancing, segmenting, feature extracting, training and classifying the finger vein image was effectuated. Discriminating from the existing approach, a 2D Gabor filter was used for better performance and SVM-RBF classifier for testifying purpose. The analysis was done with different features from which large variation in skewness range between individuals was observed. This Finger vein pattern-based testifying system becomes reliable and easier.
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Vein Recognition, Support Vector Machine, Radial Basis Function, Gabor Filter, Gray Level Co-occurrence Matrix, Mathematical Morphology