A Survey on Criminal Identification using Multi Biometric Traits in Image Processing

Authors

  • M Ganga Eswari PG Scholar, Department of CSE, SNS College of Technology, Coimbatore, India
  • S Dhanalakshmi
  • S Karthik

Keywords:

Biometric traits, Vein pattern, Finger Knuckle, RPPVSM

Abstract

In recent years image processing gained the attention of many researches for criminal identification, medical science and Meteorology. This paper discussed about multi biometrics traits such as Face recognition, finger knuckle, RPPVSM, finger print, and vein pattern. Proposed work in this paper RPPVSM fusion with Vein pattern and finger knuckle for criminal identification. RPPVSM are different from birthmarks since birthmarks are congenital but RPPVSM can be congenital or acquired. The two main sections in RPPVSM i.e.) detection, matching. Then vein pattern is impossible for duplicate evidence. finger Knuckle biometrics is one of such promising modalities. Texture pattern produced by the finger knuckle bending is extremely unique and makes the surface a distinctive biometric identifier.

References

Le Hoang Thai, Ha Nhat Tam “Fingerprint recognition using standardized fingerprint model”, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 3, No 7, May 2010.

Divyarajsinh N. Parmar, Brijesh B. Mehta, “Face Recognition Methods & Applications”, Int.J.Computer Technology & Applications,Vol 4 (1),84-86

V.V. Starovoitov, D.I Samal, D.V. Briliuk,“Three Approaches For Face Recognition”, International Conference on Pattern Recognition and Image Analysis October 21-26, 2002, Velikiy Novgorod, Russia, pp. 707-711.

Jawad Nagi, Syed Khaleel Ahmed Farrukh Nagi, "A MATLAB based Face Recognition System using Image Processing and Neural Networks", 4th International Colloquium on Signal Processing and its Applications, March 7-9, 2008

S. Han, E. Chang, L. Gao, T. Dillon,” Finger Knuckle Print Identification using Gabor Features”. Shubhangi Neware Kamal Mehta, A. S. Zadgaonkar,International Journal of Computer Applications (0975 –8887) Volume 98–No.16, July 2014.

V. U. Kale1, R. A.Wakode Rinky, L. Batra, “Finger Knuckle System for Human Identification: A Literature Survey” Volume 5, Issue 1, January 2015.

Arfika Nurhudatiana Adams Wai-Kin Kong Keyan Matinpour, Deborah Chon, Lisa Altieri, Siu-Yeung Cho, “The Individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in Independently and Uniformly Distributed Patterns,” 9th International Conference for Young Computer Scientists (ICYCS-2008), 2008, pp. 2260-2265

Arfika Nurhudatiana, Adams

Wai-Kin Kong, Keyan Matinpour, Siu-Yeung Cho, and Noah Craft, “Fundamental Statistics of Relatively Permanent Pigmented or Vascular Skin Marks for Criminal and Victim Identification,” IEEE Biometrics (IJCB), 2011 International Joint Conference on Biometrics Compendium, 11-13 Oct. 2011,Page(s):1 - 6 E-ISBN :978-1-4577-1357-6,Print ISBN:978-1-4577-1358-3

A, Rethrekar S.C, Patil M.H., Debnath Bhattacharyya, Tai-hoon Kim, “Infrared Imaging of H and Vein Patterns for Biometric Purposes” 2013

Septimiu Crisan, Ioan Gavril Tarnovan, Titus Eduard Crisan, “Vein pattern recognition. Image enhancement and feature extraction algorithms” 2014

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Published

2025-11-10

How to Cite

[1]
M. Ganga Eswari, S. Dhanalakshmi, and S. Karthik, “A Survey on Criminal Identification using Multi Biometric Traits in Image Processing”, Int. J. Comp. Sci. Eng., vol. 3, no. 9, pp. 201–204, Nov. 2025.

Issue

Vol. 3 No. 9 (2015): IJCSE September Edition

Section

Survey Article

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