Journal ArticleDOI
Robust face-voice based speaker identity verification using multilevel fusion
Girija Chetty,Michael Wagner +1 more
Reads0
Chats0
TLDR
A robust multilevel fusion strategy involving cascaded multimodal fusion of audio-lip-face motion, correlation and depth features for biometric person authentication is proposed, which shows improved fusion performance for a range of tested levels of audio and video degradation.About:
This article is published in Image and Vision Computing.The article was published on 2008-09-01. It has received 38 citations till now. The article focuses on the topics: Robustness (computer science).read more
Citations
More filters
Proceedings ArticleDOI
Biometric liveness checking using multimodal fuzzy fusion
TL;DR: Performance evaluation in terms of DET (Detector Error Tradeoff) curves and EERs (Equal Error Rates) on publicly available audiovisual speech databases show a significant improvement in performance of proposed fuzzy fusion of face-voice features based on mutual dependency models over conventional fusion techniques.
Journal ArticleDOI
Normalization and Weighting Techniques Based on Genuine-Impostor Score Fusion in Multi-Biometric Systems
TL;DR: The performance of a multi-biometric system can be improved using an efficient normalization technique under the simple sum-rule-based score-level fusion and a weighting technique based on the confidence of the matching scores by considering the mean-to-maximum of genuine scores and mean- to-minimum of impostor scores.
Journal ArticleDOI
Multimodal biometric scheme for human authentication technique based on voice and face recognition fusion
TL;DR: In the proposed multimodal biometrics system the scores fusion performs better than other scenarios and better results are given in case of utilizing for voice recognition the cepstral coefficients and statistical coefficients and in cases of face, Eigenface and SVM experiment gives better results for face recognition.
Journal ArticleDOI
Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification
Xin Liu,Yiu-ming Cheung +1 more
TL;DR: A multi-boosted Hidden Markov model (HMM) learning approach to provide a double security to a visual speaker verification system, where the speaker is verified by both of the private password information and the underlying behavioral biometrics of lip motions simultaneously.
Journal ArticleDOI
A robust color image watermarking with Singular Value Decomposition method
TL;DR: The performance of a watermarking method based on Singular Value Decomposition (SVD) has been improved for color image in this paper and application results are given which show the water marking security of using this algorithm for theWatermarking and demonstrate the accuracy of these methods.
References
More filters
Journal ArticleDOI
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
TL;DR: This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images.
Book
Discrete-Time Speech Signal Processing: Principles and Practice
TL;DR: This chapter discusses the Discrete-Time Speech Signal Processing Framework, a model based on the FBS Method, and its applications in Speech Communication Pathway and Homomorphic Signal Processing.
Journal ArticleDOI
Recent advances in the automatic recognition of audiovisual speech
TL;DR: The main components of audiovisual automatic speech recognition (ASR) are reviewed and novel contributions in two main areas are presented: first, the visual front-end design, based on a cascade of linear image transforms of an appropriate video region of interest, and subsequently, audiovISual speech integration.
Journal ArticleDOI
MCYT baseline corpus: a bimodal biometric database
Javier Ortega-Garcia,J. Fierrez-Aguilar,D. Simon,Janneth Gonzalez,Marcos Faundez-Zanuy,V. Espinosa,A. Satue,Inma Hernaez,Juan J. Igarza,Carlos E. Vivaracho,D. Escudero,Q. I. Moro +11 more
TL;DR: The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments.
Journal ArticleDOI
Person identification using multiple cues
TL;DR: A novel technique for the integration of multiple classifiers at an hybrid rank/measurement level is introduced using HyperBF networks and two different methods for the rejection of an unknown person are introduced.