[go: up one dir, main page]

Vinayagam et al., 2024 - Google Patents

A KCP-DCNN Multimodal Biosensor Authentication Device with Two-Step Verification and QR Code Falsification.

Vinayagam et al., 2024

Document ID
14056754972008662744
Author
Vinayagam J
Dilip G
Publication year
Publication venue
Journal of New Materials for Electrochemical Systems

External Links

Snippet

Multi-biometric authentication systems have become a viable way to improve authentication performance in the current digital era. Several multi-biometric authentication studies have been carried out and published in the literature. The difficulties of separating real biometric …
Continue reading at search.ebscohost.com (other versions)

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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288—Classification, e.g. identification
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00275—Holistic features and representations, i.e. based on the facial image taken as a whole
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00228—Detection; Localisation; Normalisation
    • G06K9/00248—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • 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)
    • 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
    • G06K9/00087—Matching; Classification
    • 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
    • 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
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory

Similar Documents

Publication Publication Date Title
Bontrager et al. Deepmasterprints: Generating masterprints for dictionary attacks via latent variable evolution
Galbally et al. Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms
Purohit et al. Optimal feature level fusion for secured human authentication in multimodal biometric system
Jagadeesan et al. Secured cryptographic key generation from multimodal biometrics: feature level fusion of fingerprint and iris
Jagadeesan et al. Cryptographic key generation from multiple biometric modalities: Fusing minutiae with iris feature
WO2020254857A1 (en) Fast and robust friction ridge impression minutiae extraction using feed-forward convolutional neural network
Rajasekar et al. Efficient multimodal biometric recognition for secure authentication based on deep learning approach
Usha et al. Finger knuckle biometrics–A review
Kim et al. Reconstruction of fingerprints from minutiae using conditional adversarial networks
Appati et al. Implementation of a Transform‐Minutiae Fusion‐Based Model for Fingerprint Recognition
Trivedi et al. A novel minutiae triangulation technique for non-invertible fingerprint template generation
Rajalakshmi et al. A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system
Sujana et al. An effective CNN based feature extraction approach for iris recognition system
Gona et al. Multimodal biometric reorganization system using deep learning convolutional neural network
Hashem et al. Key generation method from fingerprint image based on deep convolutional neural network model
Arora et al. Cryptography and Tay-Grey wolf optimization based multimodal biometrics for effective security
Ramachandra et al. Feature level fusion based bimodal biometric using transformation domine techniques
Agarwal et al. Human identification and verification based on signature, fingerprint and iris integration
Vinayagam et al. A KCP-DCNN Multimodal Biosensor Authentication Device with Two-Step Verification and QR Code Falsification.
Diefenderfer Fingerprint recognition
Vinayagam et al. A two-step verification-based multimodal-biometric authentication system using KCP-DCNN and QR code generation
Mishra et al. A Soft Computing Technique for Improving the Fidelity of Thumbprints Based Identification Systems.
Gopinath et al. Hybrid feature extraction and LLTSA-based dimension reduction for vein pattern recognition
Reddy et al. Authentication using fuzzy vault based on iris textures
Sharma et al. Improved Multimodal Biometric Security: OAWG-MSVM for Optimized Feature-level Fusion and Human Authentication