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P230 - BIOSIG 2014 - Proceedings of the 13th International Conference of the Biometrics Special Interest Group

https://dl.gi.de/handle/20.500.12116/20080
Auflistung nach:

Auflistung P230 - BIOSIG 2014 - Proceedings of the 13th International Conference of the Biometrics Special Interest Group nach Autor:in "Brömme, Arslan"

1 - 10 von 26
  • Konferenzbeitrag
    3D face recognition on low-cost depth sensors
    (BIOSIG 2014, 2014) Mráček, Štěpán; Drahanský, Martin; Dvořák, Radim; Provazník, Ivo; Váňa, Jan
    This paper deals with the biometric recognition of 3D faces with the emphasis on the low-cost depth sensors; such are Microsoft Kinect and SoftKinetic DS325. The presented approach is based on the score-level fusion of individual recognition units. Each unit processes the input face mesh and produces a curvature, depth, or texture representation. This image representation is further processed by specific Gabor or Gauss-Laguerre complex filter. The absolute response is then projected to lowerdimension representations and the feature vector is thus extracted. Comparison scores of individual recognition units are combined using transformation-based, classifierbased, or density-based score-level fusion. The results suggest that even poor quality low-resolution scans containing holes and noise might be successfully used for recognition in relatively small databases.
  • Konferenzbeitrag
    Assessing facial age similarity: A framework for evaluating the robustness of different feature sets
    (BIOSIG 2014, 2014) Lanitis, Andreas; Tsapatsoulis, Nicolas
    A framework that can be used for assessing the suitability of different feature vectors in the task of determining the age similarity between a pair of faces is
  • Konferenzbeitrag
    Automatic speaker verification using nearest neighbor normalization (3N) on an ipad tablet
    (BIOSIG 2014, 2014) Khemiri, Houssemeddine; Usoltsev, Alexander; Legout, Marie-Christine; Petrovska-Delacrétaz, Dijana; Chollet, Gérard
    This paper describes the development, implementation and validation of an automatic speaker recognition system on an iPad tablet. A score normalization approach, referred as Nearest Neighbor Normalization (3N), is applied in order to improve the baseline speaker verification system. The system is evaluated on the MOBIO corpus and results show an absolute improvement of the HTER by more than 4\% when the score normalization is performed. A human-centered interface is implemented for the speaker recognition system and a survey is collected from 28 users in order to evaluate the application. The results showed that the users, familiar with touchscreen interface, found the application easy to learn and use.
  • Konferenzbeitrag
    Bimodal palm biometric feature extraction using a single RGB image
    (BIOSIG 2014, 2014) Eglitis, Teodors; Pudzs, Mihails; Greitans, Modris
    This paper proposes a method for palm bimodal biometric feature (vein and crease pattern) acquisition from a single RGB image. Typical bimodal biometric systems require combining infrared and visible images for this task. We use a single CMOS color sensor and a specific illumination comprising of two wavelengths to acquire the image. As a result each biometric modality is more pronounced in its own color channel. The image is processed by applying adapted matched filters with nonlinear modifications. Performance of the proposed method is evaluated against feature separation with optical band-pass and band-stop approach on a database of 64 people. The results show the average true positive rate is 70.6 \% for vein detection and 64.7 \% for crease detection, whereas in 14.8 \% and 9.29 \% of the cases feature of wrong modality is detected.
  • Konferenzbeitrag
    A biometric key-binding scheme using lattice masking
    (BIOSIG 2014, 2014) Sugimura, Yuka; Yasuda, Masaya; Yamada, Shigefumi; Abe, Narishige; Shinzaki, Takashi
    Template protection technology can protect the confidentiality of a biometric template by certain conversion. We focus on the key-binding approach for template protection. This approach generates a secure template (or a conversion template) from joint data of a user's specific key with a user's template, and the key can be correctly extracted from the secure template only when a queried biometric feature is sufficiently close to the original template. While almost all conventional schemes use the error correcting code (ECC) technique, we present a new technique based on lattices to give a new key-binding scheme. Our proposed scheme can provide several requirements (e.g., diversity and revocability) for template protection, which cannot be provided by ECC-based schemes such as the fuzzy commitment and the fuzzy vault.
  • Editiertes Buch
    BIOSIG 2014
    (2014)
  • Konferenzbeitrag
    Customisation of paillier homomorphic encryption for efficient binary biometric feature vector matching
    (BIOSIG 2014, 2014) Penn, Georg M.; Pötzelsberger, Gerhard; Rohde, Martin; Uhl, Andreas
    Computing the Hamming weight between binary biometric feature vectors in a homomorphic encryption domain can be rather inefficient due to the required bitwise encryption. A biometric matching technique more efficient than the Goldwasser- Micali approach is proposed based on exploiting Paillier's capability of encrypting messages larger than one bit at a time. The efficiency is documented in an iris identification context.
  • Konferenzbeitrag
    Efficient two-stage speaker identification based on universal background models
    (BIOSIG 2014, 2014) Billeb, Stefan; Rathgeb, Christian; Buschbeck, Michael; Reininger, Herbert; Kasper, Klaus
    Conventional speaker identification systems are already field-proven with respect to recognition accuracy. Since any biometric identification requires exhaustive 1 : N comparisons for identifying a biometric probe, comparison time frequently dominates the overall computational workload, preventing the system from being executed in real-time. In this paper we propose a computational efficient two-stage speaker identification system based on Gaussian Mixture Model and Universal Background Model. Binarized voice biometric templates are utilized to pre-screen a large database and thereby reduce the required amount of full comparisons to a fraction of the total. Experimental evaluations demonstrate that the proposed system is capable of significantly accelerating the response-time of the system and, at the same time, identification performance is maintained, confirming the soundness of the scheme.
  • Konferenzbeitrag
    Evaluation of independence between multiple fingerprints for multibiometrics
    (BIOSIG 2014, 2014) Yamada, Shigefumi; Shinzaki, Takashi
    Multibiometrics provides high recognition accuracy and population coverage by combining different biometric sources. However, some multibiometrics may obtain smaller-than-expected improvement of recognition accuracy if the combined biometric sources are dependent in terms of a false acceptance by mistakenly perceiving biometric features from two different persons as being from the same person. In this paper, we evaluated whether or not features of multiple fingerprints from a same person are statistically independent. By evaluating false acceptance error using matching scores obtained by Verifinger SDK, we confirmed that these features were dependent and the FAR obtained by a fusion of the multiple fingerprints could be affected by the dependence.
  • Konferenzbeitrag
    Fingerprint pore characteristics for liveness detection
    (BIOSIG 2014, 2014) Johnson, Peter; Schuckers, Stephanie