P245 - BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group
Auflistung nach:
Auflistung P245 - BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group nach Erscheinungsdatum
1 - 10 von 34
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragA review of face recognition against longitudinal child faces(BIOSIG 2015, 2015) Ricanek, Karl; Bhardwaj, Shivani; Sodomsky, MichaelIt is an established fact that the face-based biometric system performance is affected by the variation that is caused as a result of aging; however, the question has not been adequately investigated for non-adults, i.e. children from birth to adulthood. The majority of research and development in automated face recognition has been focused on adults. The objective of this paper is to establish an understanding of face recognition against non-adults. This work develops a publicly available longitudinal child face database of child celebrities from images in the wild (ITWCC). This work explores the challenges of biological changes due to maturation, i.e. the face grows longer and wider, the nose expands, the lips widen, etc, i.e. craniofacial morphology, and examines the impact on face recognition. The systems chosen are: Cognitec's FaceVacs 8.3, Open Source Biometric Recognition (SF4), principal component analysis (PCA), linear discriminant analysis (LDA), local region principal component analysis (LRPCA), and cohort linear discriminant analysis. Face matchers recorded low performance: top performance in verification is 37\% TAR at 1\% FAR and best rank-1 identification reached 25\% recognition rate on a gallery of 301 subjects.
- KonferenzbeitragA signature complexity measure to select reference signatures for online signature verification(BIOSIG 2015, 2015) Kahindo, Christian; Garcia-Salicetti, Sonia; Houmani, NesmaThis paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.
- KonferenzbeitragProtected Honey Face Templates(BIOSIG 2015, 2015) Martiri, Edlira; Yang, Bian; Busch, ChristophMost existing biometric template protection schemes (BTPS) do not provide as strong security as cryptographic tools; and furthermore, they are rarely able to detect during a verification process whether a probe template has been leaked from the database or not (i.e., being used by an imposter or a genuine user). By using the “honeywords” idea, which was proposed to detect the cracking of hashed password database, we show in this paper how to enable the detectability of biometric template database leakage. We add an extra layer of protection since biometric features cannot be renewed. The biometric system design implies that protection mechanisms must satisfy the irreversibility property and to this respect we apply different correlation tests to show the non-distinguishability between genuine and honey templates. In this paper we implement the idea of a honey template protection scheme on faces and evaluate the security and accuracy performance.
- KonferenzbeitragIdentification performance of evidential value estimation for fingermarks(BIOSIG 2015, 2015) Kotzerke, Johannes; Davis, Stephen A.; Hayes, Robert; Spreeuwers, Luuk J.; Veldhuis, Raymond N. J.; Horadam, Kathy J.Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is an option worth considering. Our results show that automatic identification is possible for 126 of the 1 428 fin- , germarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.
- KonferenzbeitragInvestigation of better portable graphics compression for iris biometric recognition(BIOSIG 2015, 2015) Hofbauer, Heinz; Rathgeb, Christian; Wagner, Johannes; Uhl, Andreas; Busch, ChristophIn this paper we present the very first study on the effectiveness of the recently proposed Better Portable Graphics (BPG) image compression algorithm in the context of iris recognition. Original and pre-processed iris images of the IITDv1 iris database are compressed at various reasonable bitrates and the impact of BPG on recognition accuracy is estimated in a bilateral and unilateral compression scenario. In experiments we found that, compared to well-established image compression standards recommended for biometric data interchange, JPEG and JPEG 2000, BPG generally reveals the least impact on the recognition accuracy of two conventional feature extraction techniques. In addition, we observe that iris segmentation is least affected when employing BPG compression. Consequentially, we identify BPG as an adequate choice for image compression in iris recognition.
- KonferenzbeitragOn accuracy of keystroke authentications based on commonly used English words(BIOSIG 2015, 2015) Darabseh, Alaa; Namin, Akbar SiamiThe aim of this research is to advance the user active authentication using keystroke dynamics. Through this research, we assess the performance and influence of various keystroke features on keystroke dynamics authentication systems. In particular, we investigate the performance of keystroke features on a subset of most frequently used English words. The performance of four features such as i) key duration, ii) flight time latency, iii) digraph time latency, and iv) word total time duration are analyzed. Experiments are performed to measure the performance of each feature individually as well as the results from the different subsets of these features. Four machine learning techniques are employed for assessing keystroke authentications. The
- KonferenzbeitragPredicting Dactyloscopic Examiner Fingerprint Image Quality Assessments(BIOSIG 2015, 2015) Olsen, Martin Aastrup; Böckeler, Martin; Busch, ChristophWe work towards a system which can assist dactyloscopic examiners in assessing the quality and decision value of a fingerprint image and eventually a fingermark. However when quality assessment tasks of datyloscopic examiners are replaced by automatic quality assessment then we need to ensure that the automatic measurement is in agreement with the examiner opinion. Under the assumption of such agreement, we can predict the examiner opinion. We propose a method for determining the examiner agreement on ordinal scales and show that there is a high level of agreement between examiners assessing the ground truth quality of fingerprints. With ground truth quality information on 749 fingerprints and using 10-fold cross validation we construct models using Support Vector Machines and Proportional Odds Logistic Re- gression which predicts median examiner quality assessments 35\% better than when using the prior class distribution.
- KonferenzbeitragSparsity-based Iris Classification using Iris Fiber Structures(BIOSIG 2015, 2015) Ramaiah, Nalla Pattabhi; Srilatha, Nalla; Mohan, Chalavadi KrishnaAs there is a growing demand for biometrics usage in e-Society, the biometric recognition system faces the scalability issue as the number of people to be enrolled into the system runs into billions. In this paper, we propose an approach for iris classification using three different iris classes based on iris fiber structures, namely, stream, flower, jewel and shaker for faster retrieval of identities in large scale biometric system. A sparsity based on-line dictionary learning (ODL) algorithm is used in the proposed classification approach where dictionaries are developed for each class using log-Gabor wavelet features. Also, a method for iris adjudication process is illustrated
- KonferenzbeitragExploring gender prediction from iris biometrics(BIOSIG 2015, 2015) Fairhurst, Michael; Erbilek, Meryem; Da Costa-Abreu, MárjoryPrediction of gender characteristics from iris images has been investigated and some successful results have been reported in the literature, but without considering performance for different iris features and classifiers. This paper investigates for the first time an approach to gender prediction from iris images using different types of features (including a small number of very simple geometric features, texture features and a combination of geometric and texture features) and a more versatile and intelligent classifier structure. Our proposed approaches can achieve gender prediction accuracies of up to 90\% in the BioSecure Database.
- KonferenzbeitragCorneal topography: an emerging biometric system for person authentication(BIOSIG 2015, 2015) Kihal, Nassima; Polette, Arnaud; Chitroub, Salim; Brunette, Isabelle; Meunier, Jean