JOURNAL ARTICLE

Partial Fingerprint Recognition of Feature Extraction and Improving Accelerated KAZE Feature Matching Algorithm

P. GayathiriM. Punithavalli

Year: 2019 Journal:   International Journal of Innovative Technology and Exploring Engineering Vol: 8 (10)Pages: 3685-3690   Publisher: Blue Eyes Intelligence Engineering and Sciences Publication

Abstract

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.

Keywords:
Minutiae Biometrics Password Computer science Payment Database transaction Computer security Fingerprint (computing) Fingerprint recognition Hacker Credit card Identification (biology) Matching (statistics) Feature (linguistics) Identity (music) Database World Wide Web

Metrics

6
Cited By
0.99
FWCI (Field Weighted Citation Impact)
0
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing

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