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Forensic Approach of Human Identification Using Dual Cross Pattern of Hand Radiographs

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

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Abstract

The demand for personal identification systems has augmented in recent years, due to serious accidents and required for criminal investigation. Under natural calamity and human-made disasters sometimes it is impossible to use traditional biometric techniques based on fingerprints, iris, and face; in such cases, biometric radiographs like dental, hand and skull are the great alternatives for the victim’s identification. The key objective of this study is to present a unique technique to deal with missing and unidentified person identification based on hand radiographs using Dual Cross Pattern (DCP). The proposed system has two main stages: feature vector extraction, and classification. In this paper, an attempt has been made to find out the most suitable classifier among k-nearest neighbor (k-NN) and Classification Tree based on the accuracy of retrieval of 10 subjects with 100 right-hand radiographs. The result achieved from experiments on a small primary database of radiographs reveals that matching hand radiographs based on DCP can be significantly used for human identification.

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Authors and Affiliations

  1. Department of E&TC Engineering, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri, Pune, 411 018, Maharashtra, India

    Sagar V. Joshi & Rajendra D. Kanphade

Authors
  1. Sagar V. Joshi
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  2. Rajendra D. Kanphade
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Corresponding author

Correspondence to Sagar V. Joshi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Joshi, S.V., Kanphade, R.D. (2020). Forensic Approach of Human Identification Using Dual Cross Pattern of Hand Radiographs. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_105

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