Ankur Singh

Work place: Department of Computer Science & Engg., B. I. T. Mesra, Ranchi (Allahabad Campus), India

E-mail: arvindankur.singh@gmail.com

Website:

Research Interests: Pattern Recognition

Biography

Ankur Singh received a Bachelor of Computer Application (BCA) degree from Birla Institute of Technology, Ranchi, INDIA (Allahabad Campus), in 2010 and he is currently pursuing Master of Computer Applications (MCA) degree from same Institute. His research interest includes Biometric Authentication Techniques based on thumb print recognition.

Author Articles
Minutiae Fusion Based Framework for Thumbprint Identification of Identical Twins

By Kamta Nath Mishra P. C. Srivastava Anupam Agrawal Rishu Garg Ankur Singh

DOI: https://doi.org/10.5815/ijisa.2014.01.10, Pub. Date: 8 Dec. 2013

Identical twins identification is a challenging task because they share the same DNA sequence. This research paper presents minutiae coordinates and orientation angles fusion based technique for thumbprint identification of identical twins. Six different thumbprint images of identical twins were taken at a fixed time interval using H3 T&A terminal. The minutiae coordinates and orientation angles of these thumbprints were fused to form a union set. The union set values were stored in the smartcard memory for further identification.
The minutiae coordinates and orientation angles of a thumbprint of the person to be identified are computed and fused together for online identification. The fused minutiae are compared with the minutiae union set values stored in the smartcard memory for identity verification. The proposed method was tested on a self generated identical twin dataset and 50 identical twins of standard FVC04 and FVC06 datasets. We observed in experiments that the proposed method is accurately differentiating the identical twins of self generated and FVC datasets.

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