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37
A segment-based audio-visual speech recognizer: Data collection, development, and initial experiments
- in Proceedings of the International conference on Multimodal Interfaces (ICMI
, 2004
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Benchmarking Quality-dependent and Cost-sensitive Score-level Multimodal Biometric Fusion Algorithms
"... Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often ..."
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Cited by 21 (8 self)
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Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal biometric system. This paper reports a benchmarking study carried out within the framework the Biosecure DS2 (Access Control) evaluation campaign organized by the University of Surrey, involving face, fingerprint and iris biometrics for person authentication, targeting the application of physical access control in a mediumsize establishment with some 500 persons. While multimodal biometrics is a well investigated subject in the literature, there exists no benchmark for a fusion algorithm comparison. Working towards this goal, we designed two sets of experiments: quality-dependent
Face verification competition on the xm2vts database
- in Int. Conf. Audio and Video Based Biometric Person Authentication
, 2003
"... Abstract. In the year 2000 a competition was organised to collect face verification results on an identical, publicly available data set using a standard evaluation protocol. The database used was the Xm2vts database along with the Lausanne protocol [14]. Four different institutions submitted result ..."
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Cited by 15 (2 self)
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Abstract. In the year 2000 a competition was organised to collect face verification results on an identical, publicly available data set using a standard evaluation protocol. The database used was the Xm2vts database along with the Lausanne protocol [14]. Four different institutions submitted results on the database which were subsequently published in [13]. Three years later, a second contest using the same dataset and protocol was organised as part of AVBPA 2003. This time round seven seperate institutions submitted results to the competition. This paper presents the results of the competition and shows that verification results on this protocol have increased in performance by a factor of 3. 1
Improving Classification With Class-Independent Quality Measures: Q-stack in Face Verification
"... Abstract. Existing approaches to classification with signal quality measures make a clear distinction between the single- and multiple classifier scenarios. This paper presents an uniform approach to dichotomization based on the concept of stacking, Q-stack, which makes use of classindependent signa ..."
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Cited by 15 (5 self)
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Abstract. Existing approaches to classification with signal quality measures make a clear distinction between the single- and multiple classifier scenarios. This paper presents an uniform approach to dichotomization based on the concept of stacking, Q-stack, which makes use of classindependent signal quality measures and baseline classifier scores in order to improve classification in uni- and multimodal systems alike. In this paper we demonstrate the application of Q-stack on the task of biometric identity verification using face images and associated quality measures. We show that the use of the proposed technique allows for reducing the error rates below those of baseline classifiers in single- and multi-classifier scenarios. We discuss how Q-stack can serve as a generalized framework in any single, multiple, and multimodal classifier ensemble.
Robust Features for Frontal Face Authentication in Difficult Image Conditions
, 2003
"... In this report we extend the recently proposed DCT-mod2 feature extraction technique (which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from horizontally & vertically neighbouring blocks) via the use of various windows and diagonally neighbouring blocks. We also ev ..."
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Cited by 14 (8 self)
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In this report we extend the recently proposed DCT-mod2 feature extraction technique (which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from horizontally & vertically neighbouring blocks) via the use of various windows and diagonally neighbouring blocks. We also evaluate enhanced PCA, where traditional PCA feature extraction is combined with DCT-mod2. Results using test images corrupted by a linear and a non-linear illumination change, white Gaussian noise and compression artefacts, show that use of diagonally neighbouring blocks and windowing is detrimental to robustness against illumination changes while being useful for increasing robustness against white noise and compression artefacts. We also show that the enhanced PCA technique retains all the positive aspects of traditional PCA (that is robustness against white noise and compression artefacts) while also being robust to illumination direction changes; moreover, enhanced PCA outperforms PCA with histogram equalisation pre-processing.
Robust speaker identification based on perceptual log area ratio and Gaussian mixture models
- Proceedings of 8th International Conference on Spoken Language Processing
, 2004
"... This paper presents a new feature for speaker identification called perceptual log area ratio (PLAR). PLAR is closely related to the log area ratio (LAR) feature. PLAR is derived from the perceptual linear prediction (PLP) rather than the linear predictive coding (LPC). The PLAR feature derived from ..."
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Cited by 5 (0 self)
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This paper presents a new feature for speaker identification called perceptual log area ratio (PLAR). PLAR is closely related to the log area ratio (LAR) feature. PLAR is derived from the perceptual linear prediction (PLP) rather than the linear predictive coding (LPC). The PLAR feature derived from PLP is more robust to noise than the LAR feature. In this paper, PLAR, LAR and MFCC features were tested in a Gaussian mixture model (GMM) based speaker identification system. The F-ratio feature analysis showed that the lower order PLAR and LAR coefficients are superior in classification performance to their MFCC counterparts. The text-independent, closed-set speaker identification accuracies, as tested on KING, YOHO and the down-sampled version of TIMIT databases were 98.81%, 85.29%, 97.045 % using PLAR, 97.92%, 61.76%, 94.76 % using LAR and 96.73%, 84.31%, 96.48 % using MFCC. Those results showed that PLAR is better than LAR and MFCC in both clean and noisy environments. 1.
A BioSecure (DS2) Report on the Technological Evaluation of Score-level Quality-dependent and Cost-sensitive Multimodal Biometric Performance
"... This report summarizes the result of the BioSEcure DS2 (Desktop) evaluation campaign. This campaign aims at evaluating multimodal fusion algorithms involving face, fingerprint and iris biometrics for person authentication, targeting at the application of physical access control in a medium-sized est ..."
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Cited by 2 (2 self)
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This report summarizes the result of the BioSEcure DS2 (Desktop) evaluation campaign. This campaign aims at evaluating multimodal fusion algorithms involving face, fingerprint and iris biometrics for person authentication, targeting at the application of physical access control in a medium-sized establishment with some 500 persons. While multimodal biometrics is a well investigated subject in the literature, there exists no benchmark results on which basis fusion algorithms can be compared. Working towards this goal, we designed two sets of experiments: quality-dependent and cost-sensitive evaluations. The quality-dependent evaluation aims at evaluating how well fusion algorithms can perform under changing quality of raw biometric images principally due to change of devices. The cost-sensitive evaluation, on the other hand, aims at how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure to acquire and failure to match. Since multiple capturing devices are available, a fusion algorithm should be able to handle this non-ideal but nevertheless realistic scenario. It is on this ground that this evaluation is proposed. In both evaluations, a fusion algorithm is supplied with scores from each biometric comparison subsystems as well as the quality measures of both the template and the quality measures. The evaluation campaign is very encouraging, receiving 15 fusion systems. To the best of our knowledge, the BioSecure DS2 evaluation campaign is the first
Multibiometrics for Identity Authentication: Issues, Benefits and Challenges
"... Abstract — Multi biometric systems exploit different biometric traits, multiple samples and multiple algorithms to establish the identity of an individual. Over any single biometric system, they have the advantage of increasing the population coverage, offering user choice, making biometric authenti ..."
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Abstract — Multi biometric systems exploit different biometric traits, multiple samples and multiple algorithms to establish the identity of an individual. Over any single biometric system, they have the advantage of increasing the population coverage, offering user choice, making biometric authentication systems more reliable and resilient to spoofing, and most importantly, improving the authentication performance. However, both the design and deployment of multi biometric systems raise many issues. These include system architecture, fusion methodology, selection of component biometric experts based on their accuracy and diversity, measurement of their quality, reliability and competence, as well as overall system usability, and economic viability. These issues will be addressed and possible ways forward discussed. I.
