An Automated Technique for Criminal Face Identification Using Biometric Approach
Jyoti Nautiyal, Shivali Gahlot, Pawan Kumar Mishra
Available Online April 2013.
- Face recognition has become a popular area of research in computer vision, it is typically used in network security systems and access control systems but it is also useful in other multimedia information processing areas. One of its application is criminal face identification. Criminal record generally contains personal information about particular person along with the photograph. To identify any criminal we need some identification regarding particular person or persons, which are given by eyewitnesses. Based on the details given by the eyewitnesses, the further investigation would be carried out. In most cases the quality and resolution of the recorded image segments is poor and hard to identify a face. In this paper, we have classified image processing operations into three categories; low, medium and high level to process and analyze a given face. This paper presents better results than conventional methods in use relating to the face recognition process that are used in criminal identification.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jyoti Nautiyal AU - Shivali Gahlot AU - Pawan Kumar Mishra PY - 2013/04 DA - 2013/04 TI - An Automated Technique for Criminal Face Identification Using Biometric Approach BT - Proceedings of the Conference on Advances in Communication and Control Systems-2013 PB - Atlantis Press SP - 642 EP - 645 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6383 ID - Nautiyal2013/04 ER -