Abstract:
Signatures are frequently used as a form of verification and personal identification. Numerous credentials, including bank checks and legal documents, require signature confirmation. Verifying signatures on a large number of documents can be time-consuming and labor-intensive. Consequently, biometric systems for personal verification and authentication that rely on distinctive, quantifiable physical or behavioral traits (such as fingerprints, handprints, faces, iris scans, gait, sound, etc.) have gained significant traction. This study presents a recommended system for signature verification and identification, describing its capability to distinguish genuine signatures from forgeries using various techniques. The proposed method involves training a siamese network on two datasets for signature recognition.
This final year project is based on an IEEE paper and is considered one of the best options for computer science students. At our project centers in Bangalore, we provide the following components:
Complete documentation support for IEEE projects and final year projects.
Complete working hardware/software implementation in the students' environment.
Classes will be held accordingly to provide guidance and support throughout the project development process.
With our expertise in IEEE projects, specifically catering to CSE students, we ensure a comprehensive and successful implementation of the signature recognition project. Our project centers in Bangalore are well-equipped to provide the necessary resources and support for your final year project.