• Dr.L.JabaSheela
• V. Sathya Preiya
• Nivedhitaa Ravichandran
• Pratisha B
• Preethi m

Finger vein verification can be the most advanced biometric technology these days for safety and ease of use, as it incorporates features within the human body. The fingerprint image captured by the web camera under IR light transmission contains not only the vein pattern itself, but also the shadow produced by the various thicknesses of the finger muscles, bones, and the network networks around the vein. In this paper, we present the first process of enhancing a low-resolution image quality with the effect of light and sound produced by a webcam, and then separate the vein pattern using the corresponding adhesive method and compare it using advanced template matching. The test result shows that even image quality is not good, as long as our arteries are clear and the correct procedure can still be used as personal diagnostic methods. This paper provides detailed reviews of finger recognition algorithms. Such tools include image detection, pre-processing, feature removal and similar methods for extracting and analyzing object patterns. In addition, we document some of the novel's findings after a critical analysis of the comparative strategies of the proposed strategy.

Humaninteraction,Fingerveins,DeepLearning

"BiometricFingerVeinsAuthenticationusingDeepLearningAlgorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.46-50, April-2021, Available :http://www.jetir.org/papers/JETIRES06011.pdf

"BiometricFingerVeinsAuthenticationusingDeepLearningAlgorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp46-50, April-2021, Available at : http://www.jetir.org/papers/JETIRES06011.pdf