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Cyber-Forensic Review of Human Footprint and Gait for Personal Identification

Kapil Kumar Nagwanshi

TL;DR

The present research is driven to identify the usefulness of footprint and gait as an alternative to personal identification.

Abstract

The human footprint is having a unique set of ridges unmatched by any other human being, and therefore it can be used in different identity documents for example birth certificate, Indian biometric identification system AADHAR card, driving license, PAN card, and passport. There are many instances of the crime scene where an accused must walk around and left the footwear impressions as well as barefoot prints and therefore, it is very crucial to recovering the footprints from identifying the criminals. Footprint-based biometric is a considerably newer technique for personal identification. Fingerprints, retina, iris and face recognition are the methods most useful for attendance record of the person. This time the world is facing the problem of global terrorism. It is challenging to identify the terrorist because they are living as regular as the citizens do. Their soft target includes the industries of special interests such as defence, silicon and nanotechnology chip manufacturing units, pharmacy sectors. They pretend themselves as religious persons, so temples and other holy places, even in markets is in their targets. These are the places where one can obtain their footprints quickly. The gait itself is sufficient to predict the behaviour of the suspects. The present research is driven to identify the usefulness of footprint and gait as an alternative to personal identification.

Cyber-Forensic Review of Human Footprint and Gait for Personal Identification

TL;DR

The present research is driven to identify the usefulness of footprint and gait as an alternative to personal identification.

Abstract

The human footprint is having a unique set of ridges unmatched by any other human being, and therefore it can be used in different identity documents for example birth certificate, Indian biometric identification system AADHAR card, driving license, PAN card, and passport. There are many instances of the crime scene where an accused must walk around and left the footwear impressions as well as barefoot prints and therefore, it is very crucial to recovering the footprints from identifying the criminals. Footprint-based biometric is a considerably newer technique for personal identification. Fingerprints, retina, iris and face recognition are the methods most useful for attendance record of the person. This time the world is facing the problem of global terrorism. It is challenging to identify the terrorist because they are living as regular as the citizens do. Their soft target includes the industries of special interests such as defence, silicon and nanotechnology chip manufacturing units, pharmacy sectors. They pretend themselves as religious persons, so temples and other holy places, even in markets is in their targets. These are the places where one can obtain their footprints quickly. The gait itself is sufficient to predict the behaviour of the suspects. The present research is driven to identify the usefulness of footprint and gait as an alternative to personal identification.
Paper Structure (39 sections, 54 equations, 5 figures, 1 table)

This paper contains 39 sections, 54 equations, 5 figures, 1 table.

Table of Contents

  1. Introduction
  2. Motivation
  3. Objective
  4. Review of Systems
  5. Gait-based system
  6. Body Shape and Gait
  7. Invariant Gait Recognition
  8. Hidden Markove Model in gait
  9. View Transformation Model in the Frequency Domain
  10. Challenges in Gait Recognition
  11. Gait for Fall Prevention
  12. Floor Pressure Sensing and Analysis
  13. Radar Doppler Spectrograms Gait Classification
  14. Clothing-invariant Gait Identification
  15. Geometric Features and Soft Biometrics based Gait Recognition
  16. ...and 24 more sections

Figures (5)

  • Figure 1: Trade-offs between biometric systemsNagwanshi2017. This figure has been created based on theoretical analysis of paper cited here.
  • Figure 2: Different parts of the footprint to estimate statistical details.
  • Figure 3: Comparison of gait-based methods of personal identification.
  • Figure 4: Comparison of footprint-based methods of personal identification.
  • Figure 5: Comparison of performance of different algorithms for footprint-based biometric identification.