Identification of sex from footprint dimensions using machine learning: a study on population of Punjab in Pakistan

Identification of sex from footprint dimensions using machine learning: a study on population of Punjab in Pakistan

Abstract Background Likewise the fingerprints and palm prints, footprints are also helpful in solving a crime puzzle; however, very few studies have been reported targeting the identification of sex-based upon footprint features. Therefore, the present study aims at the identification of sex using f...

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Bibliographic Details
Main Authors: Muhammad Awais, Faizana Naeem, Nouman Rasool, Sajid Mahmood
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:Egyptian Journal of Forensic Sciences
Subjects:
Footprints
Sex classification
Pakistani population
Naïve Bayes
J48
Online Access:http://link.springer.com/article/10.1186/s41935-018-0106-2

Internet

http://link.springer.com/article/10.1186/s41935-018-0106-2

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