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Integrated Analysis of Face Similarities in Twins

Y. Angel Blessy1

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-08 , Page no. 58-60, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si8.5860

Online published on Apr 10, 2019

Copyright © Y. Angel Blessy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Y. Angel Blessy, “Integrated Analysis of Face Similarities in Twins,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.08, pp.58-60, 2019.

MLA Style Citation: Y. Angel Blessy "Integrated Analysis of Face Similarities in Twins." International Journal of Computer Sciences and Engineering 07.08 (2019): 58-60.

APA Style Citation: Y. Angel Blessy, (2019). Integrated Analysis of Face Similarities in Twins. International Journal of Computer Sciences and Engineering, 07(08), 58-60.

BibTex Style Citation:
@article{Blessy_2019,
author = {Y. Angel Blessy},
title = {Integrated Analysis of Face Similarities in Twins},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {07},
Issue = {08},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {58-60},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=916},
doi = {https://doi.org/10.26438/ijcse/v7i8.5860}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.5860}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=916
TI - Integrated Analysis of Face Similarities in Twins
T2 - International Journal of Computer Sciences and Engineering
AU - Y. Angel Blessy
PY - 2019
DA - 2019/04/10
PB - IJCSE, Indore, INDIA
SP - 58-60
IS - 08
VL - 07
SN - 2347-2693
ER -

           

Abstract

Comparison identical twins using their face images are a challenge in biometrics. This paper presents experiments done in facial recognition using data from a set of images of twins. Identical twins have the closest genetics-based relationship and therefore, the maximum similarity between face is expected to be found among identical twins. Facial comparision techniques should be able to operate even when similar-looking individuals are encountered of identical twins. The capability of biometric techniques to distinguish between the twins features of multiple reasons. Human face matching capability is often considered as a benchmark for assessing and improving automatic face recognition techniques. This study gives us some clues and shows the various aspects of personality are differently subjected.

Key-Words / Index Term

Computational studies, Face matching system, Biometric, Twins

References

[1]. D.Boot, An investigation into the degree of similarity in the handwriting of identical and fraternal twins in New Zealand, J. Am. Soc. Quest. Doc. Exam. 1(2):70–81, 1998.
[2]. K. W. Bowyer, What surprises do identical twins have for identity science?, Computer 44(7):100-102, 2011.
[3]. A. Cohen and T. Vaich, On the Identification of Twins By Their Voices, ESCA Workshop on Automatic Speaker Recognition, Identification and Verification, 213-216, 1994.
[4]. B. Budowle, Editors’ pick: Molecular genetic investigative leads to differentiate monozygotic twins, Investigative Genetics 5:11, 2014.
[5]. J. Daugman, How iris recognition works, IEEE Trans. on Circuits and Systems for Video Technology 14 (1), 21-30, 2004.
[6]. Jain Anil K et al. Biometrics: Personal Identification in Networked Society. Springer, 1999
[7]. Bhanu Bir, Tan Xuejun, Computational Algorithms for Fingerprint Recognition. USA: Kluwer Academic Publishers, 2004
[8]. Zhang T. Y, Suen C. Y, "A Fast Parallel Algorithm for Thinning Digital Patterns". Communications of the ACM. March 1984, Pages 236 – 239
[9]. O’Gorman L., “Overview of fingerprint verification technologies,” Elsevier Information Security Technical Report, Vol. 3, No. 1, 1998.