Estimating the Effectiveness of CNN and Fuzzy Logic for Signature Verification
Ishu Priya, Nisha Chaurasia · 2023
Each individual has a distinctive signature which is primarily used for personal authentication as well as the confirmation of significant papers or formal processes. A Signature, a form of bio-metric, is a method of authenticating the identity of an individual, thus, helping manage security. This reduces the possibility of forgery during the authentication process, and aids in avoiding any discrepancies during the signing process. But for a huge number of files, offline signature-based detection is ineffective and sluggish. Herein comes the need for automated signature verification systems. These systems aim at verifying whether a given signature image is real or fake. This paper provides a comprehensive survey of literature on various techniques used for handwriting verification including signatures. The respective findings of various methods have been discussed, highlighting the latest trends of research and their potential applications. The paper aims to present state-of-the-art methods for future development thus, serving as a helpful means for researchers carrying out study in signature verification and related topics.