Assessment on Extraction and Matching of Finger Vein and Iris Pattern based Authentication System
K. Appasamy1, R. S. Shanmugasundaram2
1K. Appasamy*, Research Scholar, Department of Computer Science, Vinayaka Mission’s Research Foundation (Deemed to be University), VMKV Arts and Science College, Salem, Tamilnadu, India.
2Prof. Dr. R. S. Shanmugasundaram, Deputy Director cum Nodal Officer, Vinayaka Mission’s Research Foundation (Deemed to be University), Salem, Tamilnadu, India.

Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4182-4194 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6642018520/2020©BEIESP | DOI: 10.35940/ijrte.E6642.018520

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Abstract: Biometrics uses human behavioral features for personal identification and has become most popular and promising alternatives than the traditional methods. The vein pattern is hidden inside the body and hence the problem of forgery in vein is consequently reduced when compared to fingerprint. Iris is one of the most reliable biometric traits due to its uniqueness and stability. The uniqueness of iris texture comes from the random and complex structures such as furrows, ridges, crypts, rings, corona, and freckles etc. which are formed during gestation. Often iris is combined with other biometric features for robust biometric systems. The finger vein pattern acquired under infrared light is used to design an accurate personal authentication system. The personal identification method based on vein extract the patterns from an unclear original image and line tracking operations with randomly varied start points are repeatedly carried out. This paper reviews various techniques introduced in finger vein and iris recognition system. This paper mainly focuses in introduction about finger vein and iris pattern, survey of existing research works done in the process under finger vein combined with iris recognition such as image acquisition, vein and iris enhancement, vein and iris pattern extraction and vein and iris pattern matching. Finally the challenges and future work are discussed in order to improve the left finger vein pattern with right iris and right finger vein pattern with left iris recognition.
Keywords: Finger Vein Pattern, Finger Vein Recognition, Image Acquisition, Iris Classification, Iris Image Acquisition, Iris Image Segmentation, Iris Recognition, Iris Texture Analysis, Pattern Extraction, Vein Enhancement, Vein Pattern Matching.
Scope of the Article: Pattern Recognition.