CVAICRApr 20, 2022

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

arXiv:2204.09344v110 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

This addresses the problem of identifying criminals and terrorists in forensic scenarios, though it appears incremental as it builds on existing biometric methods.

The research investigates the use of human footprints and gait as biometric alternatives for personal identification, particularly in forensic and security contexts, but does not report specific experimental results or numerical gains.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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