Overview

Original Research

RELATIVELY PERMANENT PIGMENTED SKIN MARKS BASED CRIMINAL IDENTIFICATION SYSTEM

NUSRAT PARVEEN 1, PARVEZ RAUF KHAN 2, Dr. SHAFEEQ AHMED 3, and MASOOD AHMAD 4.

Vol 17, No 10 ( 2022 )   |  DOI: 10.5281/zenodo.7253664   |   Author Affiliation: M.Tech Scholar, Department of Computer Science, Azad Institute of Engineering & Technology, Lucknow, India 1; Assistant Professor, HOD, Department of Computer Science, Azad Institute of Engineering and technology, Lucknow, India 2; Director, Azad Institute of Engineering & Technology, Lucknow, India 3; Department of Computer Science & Engineering, Azad Institute of Engineering and technology, Lucknow, India 4.   |   Licensing: CC 4.0   |   Pg no: 1119-1126   |   To cite: NUSRAT PARVEEN, et al., (2022). RELATIVELY PERMANENT PIGMENTED SKIN MARKS BASED CRIMINAL IDENTIFICATION SYSTEM. 17(10), 1119–1126. https://doi.org/10.5281/zenodo.7253664   |   Published on: 26-10-2022

Abstract

Face Recognition cannot be used to identify the person under certain types of situations because there is not enough of adequate facial image. The very same problems arise in instances of child sexual abuse, in which sexual offenders' images and markings are practically non - existent in corroboration pictures or have been purposefully obscured to avoid identification. The Relatively Permanent Pigmented Vascular Skin Marks can be used an alternative method to identify persons in such cases. An automated identification system consists of skin segmentation is used for matching algorithms in these skin images to recognize offenders. The identification system has been assessed on reference images of different topics, and it was demonstrated that when contrasted with other methods, our detection algorithm generates stable patterns of epidermis marks to identify skin marks. The system identified objects with a high accuracy.

Keywords

Skin marks, Vein Pattern, Relatively Pigmented Mask.