A Novel Handwritten Punjabi Signature Dataset for Developing Robust and Scalable Deep-learning based Signature Verification Systems

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Authors: Dalbir singh, Tejinder Kaur
Cited by: 4
References: 13

Abstract

However, the lack of large, diverse, and well-annotated signature datasets poses a significant challenge in developing robust and scalable deep learning-based verification models. In this work, created a new dataset of signatures from [N] signers, including both authentic and forger signatures. Because the dataset contains private information, it will not be made publicly available. Our aim is to use this dataset to encourage the development of signature verification systems that are reliable, robust, and scalable. This dataset is helpful in developing robust and scalable deep learning models for signature verification

Fields of Study & Subjects

Handwritten Text Recognition Techniques Topic Modeling Natural Language Processing Techniques

Publication details

Journal / source
2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC)
Publisher
IEEE
Pages
1301–1304
Publication date
19 January 2026