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Mishra et al., 2025 - Google Patents

DeepV-Net: A Deep Learning Technique for Multimodal Biometric Authentication Using EEG Signals and Handwritten Signatures

Mishra et al., 2025

Document ID
17666742397748690432
Author
Mishra A
Kumar R
Saini R
Publication year
Publication venue
Journal of Universal Computer Science

External Links

Snippet

Ensuring secure and reliable person authentication is a critical challenge in modern security systems. Traditional biometric systems relying on physiological traits like fingerprints, iris, and facial recognition often suffer from spoofing vulnerabilities. In contrast …
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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00067—Preprocessing; Feature extraction (minutiae)
    • G06K9/00073—Extracting features related to minutiae and pores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00013—Image acquisition

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