Fingerprint Recognition for Android Application Data Retrieval

Authors

  • G. Aishwariya  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Vattamalaipalayam, Coimbatore, Tamil Nadu, India
  • S. Kokilapriya  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Vattamalaipalayam, Coimbatore, Tamil Nadu, India
  • S. Adhithya  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Vattamalaipalayam, Coimbatore, Tamil Nadu, India
  • Dr. A. Grace Selvarani  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Vattamalaipalayam, Coimbatore, Tamil Nadu, India

Keywords:

Fingerprint matching, Andorid Application, Data renewal.

Abstract

Smartphones play a major role in our lives nowadays, starting from social media to grocery shopping everything has its very own featured application. The data renewal process in every application is the part where the application’s actual features are defined. The fingerprint sensors have been in-built in the smartphones for authentication purpose alone. In this application, an external reader has been used to get the fingerprint images and store them in the database, later the FP images are used for efficient and fast data renewal purposes.

References

Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Vattamalaipalayam, Coimbatore, Tamil Nadu, India

International Journal of Scientific Research in Science and Technology

Downloads

Published

2017-04-30

Issue

Volume 3, Issue 3, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G. Aishwariya, S. Kokilapriya, S. Adhithya, Dr. A. Grace Selvarani, " Fingerprint Recognition for Android Application Data Retrieval , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 3, pp.253-256, March-April-2017.