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Hand Biometrics in Digital Forensics

  • Chapter
Computational Intelligence in Digital Forensics: Forensic Investigation and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 555))

Abstract

Digital forensic is now an unavoidable part for securing the digital world from identity theft. Higher order of crimes, dealing with a massive database is really very challenging problem for any intelligent system. Biometric is a better solution to win over the problems encountered by digital forensics. Many biometric characteristics are playing their significant roles in forensics over the decades. The potential benefits and scope of hand based modes in forensics have been investigated with an illustration of hand geometry verification method. It can be applied when effective biometric evidences are properly unavailable; gloves are damaged, and dirt or any kind of liquid can minimize the accessibility and reliability of the fingerprint or palmprint. Due to the crisis of pure uniqueness of hand features for a very large database, it may be relevant for verification only. Some unimodal and multimodal hand based biometrics (e.g. hand geometry, palmprint and hand vein) with several feature extraction, database and verification methods have been discussed with 2D, 3D and infrared images.

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References

  1. Ross, A., Nandakumar, K., Jain, A.K.: Handbook of Multibiometrics. Springer (2006)

    Google Scholar 

  2. Vehils, D., Miguel, J.: Design and Implementation of Finger Vein Identification System. Ph.D Thesis (2011)

    Google Scholar 

  3. Singh, S.: Partial Palmprint Matching for Forensic Applications. M.Tech Thesis (2012)

    Google Scholar 

  4. Reith, M., Carr, C., Gunsch, G.: An Examination of Digital Forensic Models. International Journal of Digital Evidence 1(3), 1–12 (2002)

    Google Scholar 

  5. Yörük, E., Konukoğlu, E., Sankur, B., Darbon, J.: Shape-Based Hand Recognition. IEEE Trans. on Image Processing 15(7), 1803–1815 (2006)

    Article  Google Scholar 

  6. Jain, A.K., Nandakumar, K., Ross, A.: Score normalization in multimodal biometric systems. Pattern Recognition 38, 2270–2285 (2005)

    Article  Google Scholar 

  7. Yusoff, Y., Ismail, R., Hassan, Z.: Common Phases of Computer Forensics Investigation Models. International Journal of Computer Science & Information Technology (IJCSIT) 3(3), 17–31 (2011)

    Article  Google Scholar 

  8. Dutağacı, H., Sankur, B., Yörük, E.: Comparative analysis of global hand appearance-based person recognition. Journal of Electronic Imaging 17(1), 011018 (2008)

    Google Scholar 

  9. Agarwal, A., Gupta, M., Gupta, S., Chandra Gupta, S.: Systematic Digital Forensic Investigation Model. International Journal of Computer Science and Security (IJCSS) 5(1), 118–131 (2011)

    Google Scholar 

  10. Kumar, A., Ravikanth, C.: Personal Authentication Using Finger Knuckle Surface. IEEE Trans. on Information Forensics and Security 4(1), 98–110 (2009)

    Article  Google Scholar 

  11. Ribaric, S., Fratric, I.: A Biometric Identification System Based on Eigenpalm and Eigenfinger Features. IEEE Trans. on Pattern Analysis and Machine Intelligence 27(11), 1698–1709 (2005)

    Article  Google Scholar 

  12. Jain, A.K., Feng, J.: Latent Palmprint Matching. IEEE Trans. on Pattern Analysis and Machine Intelligence 31(6), 1032–1047 (2009)

    Article  Google Scholar 

  13. Kumar, A., Zhang, D.: Personal Recognition Using Hand Shape and Texture. IEEE Trans. on Image Processing 15(8), 2454–2461 (2006)

    Article  Google Scholar 

  14. Tsalakanidou, F., Malassiotis, S., Strintzis, M.G.: A 3D face and hand biometric system for robust user-friendly authentication. Pattern Recognition Letters 28, 2238–2249 (2007)

    Article  Google Scholar 

  15. Kanhangad, V., Kumar, A., Zhang, D.: A Unified Framework for Contactless Hand Verification. IEEE Trans. on Info. Forensics and Security 6(3), 1014–1027 (2011)

    Article  Google Scholar 

  16. Zhang, L., Li, H.: Encoding local image patterns using Riesz transforms: With applications to palmprint and finger-knuckle-print recognition. Image and Vision Computing 30, 1043–1051 (2012)

    Article  Google Scholar 

  17. Soni, M., Gupta, S., Rao, M.S., Gupta, P.: A New Vein Pattern-based Verification System. Intl. Journal of Computer Science and Information Security 8(1), 58–63 (2010)

    Google Scholar 

  18. Ross, A., Jain, A.K.: Information fusion in biometrics. Pattern Recognition Letters 24, 2115–2125 (2003)

    Article  Google Scholar 

  19. Wang, M.H., Chung, Y.K.: Applications of thermal image and extension theory to biometric personal recognition. Expert Systems with Applications 39, 7132–7137 (2012)

    Article  Google Scholar 

  20. Shahin, M.K., Badawi, A.M., Rasmy, M.E.M.: Multimodal Biometric System Based on Near-Infra-Red Dorsal Hand Geometry and Fingerprints for Single and Whole Hands. World Academy of Science, Engineering and Technology 56, 1107–1122 (2011)

    Google Scholar 

  21. Choras´, R.S., Choras´, M.: Hand Shape Geometry and Palmprint Features for the Personal Identification. In: IEEE Proc. of 6th Intl. Conf. on Intelligent Systems Design and Applications, pp. 1085–1090 (2006)

    Google Scholar 

  22. Wang, R., Ramos, D., Fierrez, J.: Latent-to-full palmprint comparison based on radial triangulation under forensic conditions. In: IEEE Proc. of International Joint Conference on Biometrics, pp. 1–6 (2011)

    Google Scholar 

  23. Spaun, N.A.: Forensic Biometrics from Images and Video at the Federal Bureau of Investigation. In: IEEE Proc. BTAS, pp. 1–3 (2007)

    Google Scholar 

  24. Weingaertner, D., Bellon, O.R.P., Silva, L., Cat, M.N.L.: Newborn’s Biometric Identification: Can It Be Done? In: Proc. VISAPP, vol. (1), pp. 200–205 (2008)

    Google Scholar 

  25. Shahin, M.K., Badawi, A.M., Rasmy, M.E.: A Multimodal Hand Vein, Hand Geometry and Fingerprint Prototype Design for High Security Biometrics. In: IEEE Proceedings of Biomedical Engineering Conference (CIBEC), pp. 1–6 (2008)

    Google Scholar 

  26. Guo, J.M., Liu, Y.F., Chu, M.H., Wu, C.C., Le, T.N.: Contact-Free Hand Geometry Identification System. In: 18th IEEE Intl. Conf. on Image Processing, pp. 3185–3188 (2011)

    Google Scholar 

  27. Ross, A., Govindarajan, R.: Feature Level Fusion Using Hand and Face Biometrics. In: Proc. of SPIE Conf. on Biometric Technology for Human Identification II, Orlando, USA, vol. 5779, pp. 196–204 (2005)

    Google Scholar 

  28. Hanmandlu, M., Grover, J., Madasu, V.K., Vasirkala, S.: Score Level Fusion of Hand Based Biometrics Using T-Norms. In: IEEE Conf. on Technologies for Homeland Security (HST), pp. 70–76 (2010)

    Google Scholar 

  29. Lemes, R.P., Bellon, O.R.P., Silva, L., Jain, A.K.: Biometric Recognition of Newborns: Identification using Palmprints. In: IEEE Intl. Joint Conf. on Biometrics, pp. 1–6 (2011)

    Google Scholar 

  30. Fierer, N., Lauber, C.L., Zhoub, N., McDonaldc, D., Costelloc, E.K., Knight, R.: Forensic identification using skin bacterial communities. PNAS 107(14), 6477–6481 (2010)

    Article  Google Scholar 

  31. Fierer, N., Hamady, M., Lauber, C.L., Knight, R.: The influence of sex, handedness, and washing on the diversity of hand surface bacteria. PNAS 105(46), 17994–17999 (2008)

    Article  Google Scholar 

  32. Yang, F., Ma, B., Wang, Q.X., Yao, D., Fang, C., Zhao, S., Zhou, X.: Information Fusion of Biometrics Based on Fingerprint, Hand geometry and Palmprint. In: IEEE Workshop on Automatic Identification Advanced Technologies, pp. 247–252 (2007)

    Google Scholar 

  33. Kacker, L., Varadan, S., Kumar, P.: Study on Child Abuse: INDIA 2007. Ministry of Women and Child Development, Government of India (2007)

    Google Scholar 

  34. FBI website, http://www.fbi.gov

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, 721657, India

    Asish Bera

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India

    Debotosh Bhattacharjee & Mita Nasipuri

Authors
  1. Asish Bera
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  2. Debotosh Bhattacharjee
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  3. Mita Nasipuri
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Corresponding author

Correspondence to Asish Bera .

Editor information

Editors and Affiliations

  1. Department of Software Engineering Faculty of Information and, Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  2. Department of Software Engineering Faculty of Info. and Comm. Tech., Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, Washington, USA

    Ajith Abraham

  4. Dept. of Computer Sci. and Engineering Center of Excellence for Document, The State University of New York SUNY, Buffalo, New York, USA

    Sargur N. Srihari

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© 2014 Springer International Publishing Switzerland

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Bera, A., Bhattacharjee, D., Nasipuri, M. (2014). Hand Biometrics in Digital Forensics. In: Muda, A., Choo, YH., Abraham, A., N. Srihari, S. (eds) Computational Intelligence in Digital Forensics: Forensic Investigation and Applications. Studies in Computational Intelligence, vol 555. Springer, Cham. https://doi.org/10.1007/978-3-319-05885-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-05885-6_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05884-9

  • Online ISBN: 978-3-319-05885-6

  • eBook Packages: EngineeringEngineering (R0)

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