Shah, Abdul Salam and Shah, Masood and Fayaz, Muhammad and Wahid, Fazli and Khan, Hira Khalid and Shah, Asadullah (2017) Forensic analysis of offline signature using multi-layer perception and random forest. International Journal of Database Theory and Applications, 10 (1). pp. 139-148. ISSN 2005-4270
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Abstract
Forensic applications having great importance in the digital era, for the investigation of different types of crimes. The forensic analysis includes Deoxyribonucleic Acid (DNA) test, crime scene video and images,, forged documents analysis, computer-based data recovery, fingerprint identifications, handwritten signature verification and facial recognition. The signatures are divided into two types i.e. genuine and forgery. The forgery signature can lead to the huge amount of financial losses and create other legal issues as well. The process of forensic investigation for the verification of genune signature and detection of forgery signature in law related departements has been manula and the same can be automated using digital image processing techniques, and automated forensic signature verificatiob applications. The signatures represent any person's authority to the forged signature may also be used in a crime. Research has been done to automate the forensic investigation process, but due to the internal verification of signatures, the automation of signature verification still remains a challenging problem for researchers. In this paper, we have further extended previous research carried out in [1-2] and proposed a Forensic signature verification model based on two classifiers i.e. Multi-layer Perception (MLP) and Random Forest for the classification of genuine and forgery signatures.
Item Type: | Article (Journal) |
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Additional Information: | 6566/56182 |
Uncontrolled Keywords: | Crime Investigation, Forensic Investigation, Forensic Signature, Forgery Signature, Image Processing, Random Tree, Signature Verification |
Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Prof Asadullah Shah |
Date Deposited: | 15 Apr 2017 15:12 |
Last Modified: | 15 Apr 2017 15:12 |
URI: | http://irep.iium.edu.my/id/eprint/56182 |
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