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A Comprehensive Study on Signature Recognition using Python, AI and ML

Uppe Nanaji*, C P V N J Mohan Rao**, Sagar M.***

*-*** Avanthi Institute of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India.

Periodicity:January - June'2025

Abstract

Signature verification and recognition is a critical biometric technique used for identity authentication in various domains, including banking, legal documents, and access control. With the advancements in Artificial Intelligence (AI) and Machine Learning (ML), automated signature recognition systems have become increasingly sophisticated and accurate. This paper provides a comprehensive overview of developing a signature recognition system using Python, AI, and ML techniques. It covers the fundamental concepts and methodologies involved, including data acquisition, preprocessing, feature extraction, model selection, and evaluation. Furthermore, it discusses the role of popular Python libraries and frameworks in implementing such systems and explores common challenges and future directions in the field. The aim is to offer a foundational understanding for studies and practitioners interested in automated signature analysis.

Keywords

Signature Verification, Biometric Authentication, Identity Verification, Document Authentication, Signature Analysis, AI in Biometrics.

How to Cite this Article?

Nanaji, U., Rao, C. P. V. N. J. M., and Sagar, M. (2025). A Comprehensive Study on Signature Recognition using Python, AI and ML. International Journal of Data Mining Techniques and Applications, 14(1), 17-25.

References

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	35
Online	15	15	200	35
Pdf & Online	35	35	400	35

A Comprehensive Study on Signature Recognition using Python, AI and ML

Abstract

Keywords

How to Cite this Article?

References

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