签名模式分析:用于法医鉴定的手写签名的一致性和独特性

Diksha Singh, Dileep Kumar, Poonam Prakash
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引用次数: 0

摘要

手写签名是一种独特的行为属性,是个人身份识别的一种独特形式。本研究侧重于使用各种参数分析签名模式,包括长宽比、第一个字母相对于基线的角度以及签名中圆形面积与半径之比。我们使用图像分析工具检查了由 1200 个真实签名样本和 1200 个模拟(英文)签名样本组成的数据集,以记录这些参数的测量结果。主要目的是研究同一人签名的一致性,并比较真实签名和模拟签名。这项研究为法医调查领域提供了关于签名认证以及根据签名模式测量同一人和不同人签名之间差异的见解。研究结果有助于确定区分真假签名的最有影响力的参数,并提高手写签名样本的证据价值。此外,本研究中采用的简化方法可普遍适用于各种语言。未来的研究工作可以扩大数据集并探索更多参数,以进一步提高法证分析中签名验证方法的准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Signature Patterns: Consistency and Distinctiveness in Handwritten Signatures for Forensic Authentication
Handwritten signatures are unique behavioural attributes that serve as a distinct form of identification forindividuals. This study focuses on the analysis of signature patterns using various parameters, including aspect ratio, angle of the first letter with respect to the baseline, and the ratio of the area of a circle to its radius within the signature. A dataset consisting of 1200 genuine and 1200 simulated (English) signature samples from 12 individuals were examined using an image analysis tool to record measurements for these parameters. The primary objectives were to investigate the consistency of signatures within the same person and to compare genuine signatures with simulated ones. This study contributes to the field of forensic investigations by offering insights into the authentication of signatures and the measurement of dissimilarities between signatures of the same and different individuals based on their patterns. The findings aid in identifying most influential parameter in distinguishing genuine signatures from counterfeits and enhance the evidential value of handwritten signature samples. Additionally, the simplified approach employed in this study allows for universal applicability across languages. Future research endeavours could expand the dataset and explore additional parameters to further improve the accuracy and reliability of signature verification methods in forensic analysis.
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