Abstract: Palm vein recognition using image processing is a cutting-edge biometric authentication technology that identifies individuals based on the unique patterns of veins in their palms. This method leverages near-infrared light to capture images of the veins beneath the skin's surface, which are then processed using advanced image processing techniques. The extracted vein patterns are analysed and compared against stored templates to authenticate individuals with a high level of accuracy and security. Unlike other biometric modalities, such as fingerprints or iris recognition, palm vein patterns are internal and difficult to replicate, making this approach highly resistant to forgery and spoofing. This paper provides an overview of palm vein recognition, highlighting its key characteristics, benefits, and applications across various industries including security, healthcare, finance, and personal devices. Additionally, it discusses the role of image processing in enhancing the accuracy and reliability of palm vein recognition systems, as well as future research directions aimed at further improving this technology. Overall, palm vein recognition offers a promising solution for secure and convenient authentication in diverse environments, with the potential to revolutionize the way individuals are identified and verified.

Keywords: palm vein recognition, image processing, near-infrared light, authentication.

Cite:
D. Tejaswi, K. Tejasri, K. Sai Supriya, Ch. Sireesha,"Palm Vein Recognition Using Image Processing", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11330.

| DOI: 10.17148/IARJSET.2024.11330