Preprint Review Version 1 This version is not peer-reviewed

Cyber Forensic Review of Human Footprint and Gait-based System for Personal Identification in Crime Scene Investigation

Version 1 : Received: 5 April 2018 / Approved: 6 April 2018 / Online: 6 April 2018 (08:54:28 CEST)

How to cite: Nagwanshi, K.K. Cyber Forensic Review of Human Footprint and Gait-based System for Personal Identification in Crime Scene Investigation. Preprints 2018, 2018040072 (doi: 10.20944/preprints201804.0072.v1). Nagwanshi, K.K. Cyber Forensic Review of Human Footprint and Gait-based System for Personal Identification in Crime Scene Investigation. Preprints 2018, 2018040072 (doi: 10.20944/preprints201804.0072.v1).

Abstract

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 to identify 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 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 defense, 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 easily. 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.

Subject Areas

ANN; biometric; crime-scene; fuzzy logic; gait; human footprint; Hidden Markov Model; PCA; Recognition

Readers' Comments and Ratings (2)

Importance: How significant is the paper to the field?
Outstanding/highlight paper
50%
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50%
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0%
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Soundness of evidence/arguments presented:
Conclusions well supported
100%
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0%
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0%
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Comment 1
Received: 17 May 2018
Commenter: Jyoti KN
The commenter has declared there is no conflict of interests.
Comment: This is a comprehensive study which supports new work to carry out.
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Comment 2
Received: 29 May 2018
Commenter: Samya K Narainmurthy
The commenter has declared there is no conflict of interests.
Comment: -Mathematical literature review help lot me to formulate my own problem.
-Gait and foot print coverage fulfills my requirement.
-This paper encourages the implementation in legal capacity.
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