Open AccessPartial Fingerprint Recognition of Feature Extraction and Improving Accelerated KAZE Feature Matching Algorithm
Author(s) -
P. Gayathiri,
M. Punithavalli
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9653.0881019
Subject(s) - minutiae , biometrics , password , computer science , payment , database transaction , computer security , fingerprint (computing) , fingerprint recognition , hacker , credit card , matching (statistics) , identification (biology) , feature (linguistics) , feature extraction , identity (music) , artificial intelligence , database , linguistics , statistics , botany , philosophy , mathematics , physics , world wide web , acoustics , biology
Nowadays for Personal Identification Numbers (PIN) and passwords an efficient and secure alternative has been used which is called e-security. Due to the various computer frauds like identity theft and computer hacking there is a rapid increase in the financial losses of payment. In present day, the banking sector is accepting the payments through credit cards for every on-line as well as offline transaction which actually encourages the cashless payments. It will be the foremost convenient because of do on-line looking out, bills payments etc. Therefore, there is also increase in the fraud risks that area associated with the misuse of the credit cards as a result of technology development. So we go for biometric security to resolve this problem. The aim of our study is to given security through biometric technology of fingerprint recognition. Minutiae extraction and minutiae matching technique of AKAZE to boost the accuracy and high speed computation.