[go: up one dir, main page]

Hossain et al., 2021 - Google Patents

Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system

Hossain et al., 2021

Document ID
4897778937372763613
Author
Hossain M
Balagani K
Phoha V
Publication year
Publication venue
Pattern Analysis and Applications

External Links

Snippet

A multistage biometric verification system uses multiple biometrics and/or multiple biometric verifiers to generate a verification decision. The core of a multistage biometric verification system is reject option which allows a stage not to give a genuine/impostor decision when it …
Continue reading at link.springer.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
    • G06K9/62—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
    • G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
    • 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
    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/6292—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data
    • G06K9/6293—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data of classification results relating to different input data, e.g. multimodal recognition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065—Adaptation
    • G10L15/07—Adaptation to the speaker

Similar Documents

Publication Publication Date Title
Bala et al. Multimodal biometric system based on fusion techniques: a review
Galbally et al. On the vulnerability of face verification systems to hill-climbing attacks
He et al. Performance evaluation of score level fusion in multimodal biometric systems
Verlinde et al. Multi-modal identity verification using expert fusion
Hossain et al. Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system
Edwards et al. Effectiveness of deep learning on serial fusion based biometric systems
Inuma et al. Theoretical framework for constructing matching algorithms in biometric authentication systems
Pahuja et al. Biometric authentication & identification through behavioral biometrics: A survey
Horng et al. An improved score level fusion in multimodal biometric systems
Ramu et al. Machine learning based soft biometrics for enhanced keystroke recognition system
Hossain et al. On enhancing serial fusion based multi-biometric verification system
Bendjenna et al. Pattern recognition system: from classical methods to deep learning techniques
Meraoumia et al. Finger-Knuckle-Print identification based on histogram of oriented gradients and SVM classifier
Alwan et al. Cancellable face biometrics template using alexnet
Hossain et al. Enhancing performance and user convenience of multi-biometric verification systems
Singh et al. A feasible adaptive fuzzy genetic technique for face, fingerprint, and palmprint based multimodal biometrics systems
Chaa et al. An efficient biometric based personal authentication system using Finger Knuckle Prints features
Abdul-Al et al. Performance of multimodal biometric systems using face and fingerprints (short survey)
Kaur et al. Security Enhancement in multimodal system fusion with quantile normalization for speech and signature modalities
De Marsico et al. A multiexpert collaborative biometric system for people identification
Pathak et al. Performance of multimodal biometric system based on level and method of fusion
Hossain et al. On controlling genuine reject rate in multi-stage biometric verification
Harrabi A Combined Support Vector Machine and Statistical Method for Iris Recognition
Aditya et al. Novel methods for Multimodal Biometric System to Strengthen the Security
Hossain et al. On error reduction by the symmetric rejection method in multi-stage biometric verification systems