| 1. |
- Alonso-Fernandez, Fernando, 1978-, et al.
(författare)
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Combining multiple matchers for fingerprint verification : A case study in biosecure network of excellence
- 2007
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Ingår i: Annales des télécommunications. - Paris, France : Springer. - 0003-4347 .- 1958-9395. ; 62:1-2, s. 62-82
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Tidskriftsartikel (refereegranskat)abstract
- We report on experiments for the fingerprint modality conducted during the First BioSecure Residential Workshop. Two reference systems for fingerprint verification have been tested together with two additional non-reference systems. These systems follow different approaches of fingerprint processing and are discussed in detail. Fusion experiments involving different combinations of the available systems are presented. The experimental results show that the best recognition strategy involves both minutiae-based and correlation-based measurements. Regarding the fusion experiments, the best relative improvement is obtained when fusing systems that are based on heterogeneous strategies for feature extraction and/or matching. The best combinations of two/three/four systems always include the best individual systems whereas the best verification performance is obtained when combining all the available systems.
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| 2. |
- Assabie, Yaregal, 1975-, et al.
(författare)
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Multifont size-resilient recognition system for Ethiopic script
- 2007
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Ingår i: International Journal on Document Analysis and Recognition. - Berlin : Springer Berlin/Heidelberg. - 1433-2833 .- 1433-2825. ; 10:2, s. 85-100
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a novel framework for recognition of Ethiopic characters using structural and syntactic techniques. Graphically complex characters are represented by the spatial relationships of less complex primitives which form a unique set of patterns for each character. The spatial relationship is represented by a special tree structure which is also used to generate string patterns of primitives. Recognition is then achieved by matching the generated string pattern against each pattern in the alphabet knowledge-base built for this purpose. The recognition system tolerates variations on the parameters of characters like font type, size and style. Direction field tensor is used as a tool to extract structural features.
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| 3. |
- Faraj, Maycel Isaac, 1979-, et al.
(författare)
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Audio–visual person authentication using lip-motion from orientation maps
- 2007
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Ingår i: Pattern Recognition Letters. - Amsterdam : North-Holland. - 0167-8655 .- 1872-7344. ; 28:11, s. 1368-1382
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Tidskriftsartikel (refereegranskat)abstract
- This paper describes a new identity authentication technique by a synergetic use of lip-motion and speech. The lip-motion is defined as the distribution of apparent velocities in the movement of brightness patterns in an image and is estimated by computing the velocity components of the structure tensor by 1D processing, in 2D manifolds. Since the velocities are computed without extracting the speaker’s lip-contours, more robust visual features can be obtained in comparison to motion features extracted from lip-contours. The motion estimations are performed in a rectangular lip-region, which affords increased computational efficiency. A person authentication implementation based on lip-movements and speech is presented along with experiments exhibiting a recognition rate of 98%. Besides its value in authentication, the technique can be used naturally to evaluate the “liveness” of someone speaking as it can be used in text-prompted dialogue. The XM2VTS database was used for performance quantification as it is currently the largest publicly available database (≈300 persons) containing both lip-motion and speech. Comparisons with other techniques are presented.
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| 4. |
- Faraj, Maycel Isaac, 1979-, et al.
(författare)
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Lip Biometrics for Digit Recognition
- 2007
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Ingår i: Computer Analysis of Images and Patterns, Proceedings. - Berlin : Springer Berlin/Heidelberg. - 9783540742715 ; , s. 360-365
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Konferensbidrag (refereegranskat)abstract
- This paper presents a speaker-independent audio-visual digit recognition system that utilizes speech and visual lip signals. The extracted visual features are based on line-motion estimation obtained from video sequences with low resolution (128 ×128 pixels) to increase the robustness of audio recognition. The core experiments investigate lip motion biometrics as stand-alone as well as merged modality in speech recognition system. It uses Support Vector Machines, showing favourable experimental results with digit recognition featuring 83% to 100% on the XM2VTS database depending on the amount of available visual information.
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| 5. |
- Faraj, Maycel Isaac, 1979-, et al.
(författare)
-
Speaker and Digit Recognition by Audio-Visual Lip Biometrics
- 2007
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Ingår i: Advances in biometrics. - Berlin : Springer. - 9783540745488 ; , s. 1016-1024
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Konferensbidrag (populärvet., debatt m.m.)abstract
- This paper proposes a new robust bi-modal audio visual digit and speaker recognition system by lip-motion and speech biometrics. To increase the robustness of digit and speaker recognition, we have proposed a method using speaker lip motion information extracted from video sequences with low resolution (128 ×128 pixels). In this paper we investigate a biometric system for digit recognition and speaker identification based using line-motion estimation with speech information and Support Vector Machines. The acoustic and visual features are fused at the feature level showing favourable results with digit recognition being 83% to 100% and speaker recognition 100% on the XM2VTS database.
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| 6. |
- Faraj, Maycel, 1979-, et al.
(författare)
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Synergy of lip motion and acoustic features in biometric speech and speaker recognition
- 2007
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Ingår i: IEEE Transactions on Computers. - New York : IEEE Press. - 0018-9340 .- 1557-9956. ; 56:9, s. 1169-1175
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents the scheme and evaluation of a robust audio-visual digit-and-speaker-recognition system using lip motion and speech biometrics. Moreover, a liveness verification barrier based on a person's lip movement is added to the system to guard against advanced spoofing attempts such as replayed videos. The acoustic and visual features are integrated at the feature level and evaluated first by a support vector machine for digit and speaker identification and, then, by a Gaussian mixture model for speaker verification. Based on ap300 different personal identities, this paper represents, to our knowledge, the first extensive study investigating the added value of lip motion features for speaker and speech-recognition applications. Digit recognition and person-identification and verification experiments are conducted on the publicly available XM2VTS database showing favorable results (speaker verification is 98 percent, speaker identification is 100 percent, and digit identification is 83 percent to 100 percent).
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