Memon et al., 2017 - Google Patents
Audio-visual biometric authentication for secured access into personal devicesMemon et al., 2017
- Document ID
- 9242783529061600881
- Author
- Memon Q
- AlKassim Z
- AlHassan E
- Omer M
- Alsiddig M
- Publication year
- Publication venue
- Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science
External Links
Snippet
The security of data is becoming a challenge, as newer smarter devices with increasingly more memory are appearing in the market. Currently, most of the user data remains on personal devices, when the user is either mobile or at workplace. The username and …
- 238000000034 method 0 abstract description 19
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ali et al. | Edge-centric multimodal authentication system using encrypted biometric templates | |
| Gomez-Barrero et al. | Biometrics in the era of COVID-19: challenges and opportunities | |
| Muaaz et al. | An analysis of different approaches to gait recognition using cell phone based accelerometers | |
| Chen et al. | Robust deep feature for spoofing detection—The SJTU system for ASVspoof 2015 challenge | |
| CN103475490B (en) | A kind of auth method and device | |
| Bigun et al. | Multimodal biometric authentication using quality signals in mobile communications | |
| Muckenhirn et al. | Long-term spectral statistics for voice presentation attack detection | |
| Sahoo et al. | Emotion recognition from audio-visual data using rule based decision level fusion | |
| Korshunov et al. | Cross-database evaluation of audio-based spoofing detection systems | |
| Rieger et al. | Speech based emotion recognition using spectral feature extraction and an ensemble of kNN classifiers | |
| Memon et al. | Audio-visual biometric authentication for secured access into personal devices | |
| Mandalapu et al. | Audio-visual biometric recognition and presentation attack detection: A comprehensive survey | |
| Duraibi | Voice biometric identity authentication model for IoT devices | |
| Ramachandra et al. | Smartphone multi-modal biometric authentication: Database and evaluation | |
| El Shafey et al. | Audio-visual gender recognition in uncontrolled environment using variability modeling techniques | |
| Meudt et al. | Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech | |
| Chou | Presentation attack detection based on score level fusion and challenge-response technique | |
| Anzar et al. | Efficient online and offline template update mechanisms for speaker recognition | |
| Mansour et al. | Emotional speaker recognition in real life conditions using multiple descriptors and i-vector speaker modeling technique | |
| Haris et al. | Robust speaker verification with joint sparse coding over learned dictionaries | |
| Chaitanya et al. | Verification of pattern unlock and gait behavioural authentication through a machine learning approach | |
| Anand et al. | Text-independent speaker recognition for Ambient Intelligence applications by using information set features | |
| Mayrhofer et al. | Towards usable authentication on mobile phones: An evaluation of speaker and face recognition on off-the-shelf handsets | |
| Shen et al. | Secure mobile services by face and speech based personal authentication | |
| Shenai et al. | Fast biometric authentication system based on audio-visual fusion |