Open AccessMinutiae Distances and Orientation Fields Based Thumbprint Identification of Identical Twins
Author(s) -
Kamta Nath Mishra,
Prakash C. Srivastava,
Anupam Agrawal,
V.K. Tripathi,
Rishu Garg
Publication year - 2013
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2013.02.08
Subject(s) - minutiae , basis (linear algebra) , identical twins , orientation (vector space) , identification (biology) , artificial intelligence , face (sociological concept) , computer science , pattern recognition (psychology) , sequence (biology) , computer vision , mathematics , genetics , biology , geometry , fingerprint recognition , fingerprint (computing) , botany , social science , sociology
The twins are classified into two categories namely fraternal and identical twins. Fraternal twins differ in face structures and DNA sequences but, identical twins have the same face structure and share same DNA sequence. Therefore, it is difficult to identify identical twins on the basis of their faces and DNA sequences. In this research paper, we have introduced a new approach for identifying identical twins on the basis of minutiae coordinates, orientation angles, and minutiae distances of their thumbprint images. We tested the proposed method on thumbprint images of an identical twin pair generated by using Incept H3 T&A Terminal and fifty pairs of identical twins of FVC04, and FVC06 datasets. We have found that the proposed approach is superior, and robust in comparison to existing techniques in terms of accuracy, efficiency, and storage space.
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