Deep Feature-Based Writer-Dependent Classifiers for Offline Signature Verification
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 6 | Views: 72 | Weekly Hits: ⮙1 | Monthly Hits: ⮙5

Research Paper | Computer Science | India | Volume 14 Issue 4, April 2025 | Popularity: 5.9 / 10


     

Deep Feature-Based Writer-Dependent Classifiers for Offline Signature Verification

D S Guru, H Annapurna, K S Manjunatha


Abstract: In this work, we proposed a novel scheme based on deep architectures for offline signature verification. The proposed method introduces the notion of writer-dependent deep architectures for offline signature verification. Compared to the current signature verification techniques that use the same architecture for all writers, the proposed model based on applying deep architecture which may vary from a writer to writer. In this work, writer-dependency has been exploited at two stages: In the first stage, writer-dependent deep architectures are selected for each writer. In the second stage, writer-dependent deep architectures are used as feature extractors, and then the dimensionality of a feature vector is reduced through the application of linear dimensionality reduction technique. Finally, writer-dependent classifiers are fixed for each writer. At the verification stage, to establish the authenticity of the test signature, features are extracted from the writer-dependent architecture and fed into the writer-dependent classifier of the claimed writer. Extensive experiments are carried out on two benchmark offline signature datasets: CEDAR and MCYT, to validate the performance of the proposed model. The obtained results clearly indicate the efficacy of the proposed methodology.


Keywords: Offline signature verification, Deep features, Writer-dependent deep architecture, Writer-dependent classifiers


Edition: Volume 14 Issue 4, April 2025


Pages: 877 - 888


DOI: https://www.doi.org/10.21275/SR25409182125


Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
D S Guru, H Annapurna, K S Manjunatha, "Deep Feature-Based Writer-Dependent Classifiers for Offline Signature Verification", International Journal of Science and Research (IJSR), Volume 14 Issue 4, April 2025, pp. 877-888, https://www.ijsr.net/getabstract.php?paperid=SR25409182125, DOI: https://www.doi.org/10.21275/SR25409182125

Top