Partial Fingerprint Recognition of Feature Extraction and Improving Accelerated KAZE Feature Matching Algorithm
P. Gayathiri1, M. Punithavalli2
1First Author Name, Department of Computer Applications ,Bharathiar University, Coimbatore, India.
2Second Author Name, Department of Computer Applications, Bharathiar University,
Manuscript received on 14 August 2019 | Revised Manuscript received on 18 August 2019 | Manuscript published on 30 August 2019 | PP: 3685-3690 | Volume-8 Issue-10, August 2019 | Retrieval Number: J96530881019/2019©BEIESP | DOI: 10.35940/ijitee.J9653.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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: AKAZE, Biometric, Crossing Number, Fingerprint Matching, Fingerprint Extraction, SIFT
Scope of the Article: Pattern Recognition