Abstract
Gray Pixel Value based Vein Feature Extraction and Recognition on FPGA
Highlights
The fast growing technology and revolution in globalization of business, a strong reliable, high secure, authenticating system/human and for communication to carry valuable data in all sectors is very much necessary
Level (3) describes the verification and validation of the palm vein features on field-programmable gate array (FPGA)
The implementation result of palm vein authentication system (PVAS) on FPGA shows a faster time of 1.979000ns for data validation process and accuracy of 98.921%
Summary
The fast growing technology and revolution in globalization of business, a strong reliable, high secure, authenticating system/human and for communication to carry valuable data in all sectors is very much necessary. After preprocessing the feature extraction based on centre-line thinning and gray value threshold, palm vein valid minutia points are extracting. These extract points are in 2D form. To ensure proper encoding and decoding, error-detecting techniques called CRC algorithm is employing here This algorithm proved that is very efficient method for validation of data without appending any error at the decoding stage [1]-[3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
