Showing posts with label Biometrics. Show all posts
Showing posts with label Biometrics. Show all posts

Friday, 11 March 2022

Usability Analysis of Biometric Authentication Scheme for Smart Mobile Devices | Chapter 12 | Innovations in Science and Technology Vol. 6

 The use of mobile devices to access data has increased in recent years, as has the use of mobile devices in applications such as web browsing, email, multimedia, entertainment applications, navigation, stock trading, electronic purchase, banking, and health care. As a result, data security has become more important, and securing data in mobile devices has become a challenge. Criminals have mastered the art of cracking passwords and fabricating biometric features, as well as virtually every type of user-authentication measure designed to prevent them from accessing device data. Mobile authentication solutions that are more robust are plainly required. To solve these issues with mobile devices, biometric systems based on graphical help, photos, and sounds can be developed to provide a more secure, inexpensive, and memorable authentication approach. Among the various authentication mechanisms, we believe that biometric authentication is the most secure. Biometrics are favoured for improving the security and dependability of mobile devices. The many elements of biometrics authentication techniques and mobile device security threats are discussed in this study.

Author(s) Details:

M. Sujithra,
Department of Computing- Data Science, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India.


G. Padmavathi,
School of Physical Sciences and Computational Sciences, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India

Please see the link here: https://stm.bookpi.org/IST-V6/article/view/6042

Saturday, 21 August 2021

Survey on Different Classification Models for Retrieving Secure Image | Chapter 1 | New Approaches in Engineering Research Vol. 9

 This research focuses on recovering photographs from a mixed database while maintaining reality protection during the capacity and rebuilding phases. The topic focuses on picture headway security systems with links between defended aspects. By combining each sign preparation and cryptographic strategy, three plans are exhibited and discussed, including bitplane randomization, unexpected projection, and randomised unary encoding. The outcomesdemonstrate that shielded image recovery can achieve a similar rebuilt appearance to traditional picture recovery approaches without revealing the texture of the photograph's content material. This coaching enhances the domain of calm contemplative reclamation and allows you to find exquisite art in safe internet settings for photos and documents.


Author (S) Details


Dr. T. Srinivas Reddy
Department of ECE, Malla Reddy Engineering College (A), Main Campus, India.

C. H. Shekar
Department of ECE, Teegala Krishna Reddy Engineering College, India.

J. Prabhakar
Department of ECE, NallaMalla Reddy Engineering College, India.

View Book :-https://stm.bookpi.org/NAER-V9/article/view/2814

Sunday, 28 June 2020

Attendance Marking System Using Face Recognition | Chapter 9 | Recent Advances in Science and Technology Research Vol. 2

Marking of attendance in a classroom during a lecture is considered as a time consuming task. Large number of students present in the lecture hall leads to the possibility of proxy attendance. It is extremely difficult task for lecturers to manually identify the students who skip their lectures on regular basis. Student’s attendance Management through the conventional methods had been a challenge in the recent years. There is a need of efficient and automatic techniques of marking attendance which leads to growing challenge in the area of face recognition.  Even though standard biometrics are widely used for automatic attendance marking, still it faces lot of problems. However, most of the previously proposed techniques lack the element of reliability. The main focus of our project is to analyse and evaluate the recent attendance marking techniques using face recognition methods. Our proposed system is a conceptual model for automated attendance system through facial recognition and it uses an integral validation process which enhances the reliability of model.

Author(s) Details

Ms. G. Thilagavathi,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.  

Dr. N. K. Karthikeyan,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/189