Gray Pixel Value based Vein Feature Extraction and Recognition on FPGA

2020 International Journal of Engineering Research and  
The proposed paper presents a new technique in the authentication system in contactless palm vein biometric modality. This work is focused on improving the security and performance of a palm vein pattern recognition system. This work is dedicated to verifying an efficient and robust authentication system on a field-programmable gate array (FPGA). The proposed method is carrying at three different levels. (1) Palm vein image feature (Gray value) detection and extraction (2) A secrete key
more » ... on using16-bit Cyclic Redundancy check (CRC) checksum. (3) Realization and implementation of level (1) and (2) on FPGA. Level (3) describes the verification and validation of the palm vein features on FPGA. The state-of-the-art of the proposed work is to design and implement a 2-level palm vein authentication system (PVAS) by adapting CRC to ensure proper encoding and decoding of the data. The implementation result of PVAS on FPGA shows a faster time of 1.979000ns for data validation process and accuracy of 98.921%. The objective of the present work is to analyze and compare system performance on software and hardware platform. Finally, it observed from the result that CRC-16 is a highly secured algorithm for faster verification and validation of the system on FPGA.
doi:10.17577/ijertv9is050572 fatcat:j7yadhxk2ja2fekk2we57dky6u