Comparing Traditional and Digital Methods for Detecting Forged Signatures in Forensic Analysis

Abstract

Abstract: Signatures are considered proofs for the validation of documents. Forgery of the signature is seen in almost all documents, ranging from bank checks, property papers, legal documents, and so on. The analysis of the signature can be a challenging task for forensic experts as fewer alphabets are used, so finding characteristics is difficult. In this research paper, we have discussed two ways of analyzing forged signatures: traditional and digital methods (Matlab and Python software). Traditional method: manual analysis of forged signatures with the help of a stereomicroscope and magnifying glass; digital method: using Matlab and Python software for analysis. In Matlab software, a curve fitting function is used in which the deviation of the graph is analyzed for both original and forged signatures. In Python software, two samples are added, one of which is the original signature and the other is the questioned sample. For analysis, 400 samples of signatures were used: 200 samples of the original signature and 200 samples of the questioned signature. The main aim of the paper is to find an easy and less time-consuming method for the analysis of the forged signature. The digital method has shown an accuracy of 95%. So it can be said that the digital method requires less time than the traditional method, and the accuracy and efficiency are almost the same.