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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Alonso-Fernandez, Fernando, et al.
(författare)
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Iris Recognition Based on SIFT Features
- 2009
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Ingår i: 2009 First IEEE International Conference on Biometrics, Identity and Securit. - 9781424452767 ; , s. 1-8
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Konferensbidrag (refereegranskat)abstract
- Biometric methods based on iris images are believed to allow very high accuracy, and there has been an explosion of interest in iris biometrics in recent years. In this paper, we use the Scale Invariant Feature Transformation (SIFT) for recognition using iris images. Contrarily to traditional iris recognition systems, the SIFT approach does not rely on the transformation of the iris pattern to polar coordinates or on highly accurate segmentation, allowing less constrained image acquisition conditions. We extract characteristic SIFT feature points in scale space and perform matching based on the texture information around the feature points using the SIFT operator. Experiments are done using the BioSec multimodal database, which includes 3,200 iris images from 200 individuals acquired in two different sessions. We contribute with the analysis of the influence of different SIFT parameters on the recognition performance. We also show the complementarity between the SIFT approach and a popular matching approach based on transformation to polar coordinates and Log-Gabor wavelets. The combination of the two approaches achieves significantly better performance than either of the individual schemes, with a performance improvement of 24% in the Equal Error Rate.
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| 3. |
- Krish, Ram P., et al.
(författare)
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Improving Automated Latent Fingerprint Identification Using Extended Minutia Types
- 2019
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Ingår i: Information Fusion. - Amsterdam : Elsevier. - 1566-2535 .- 1872-6305. ; 50, s. 9-19
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Tidskriftsartikel (refereegranskat)abstract
- Latent fingerprints are usually processed with Automated Fingerprint Identification Systems (AFIS) by law enforcement agencies to narrow down possible suspects from a criminal database. AFIS do not commonly use all discriminatory features available in fingerprints but typically use only some types of features automatically extracted by a feature extraction algorithm. In this work, we explore ways to improve rank identification accuracies of AFIS when only a partial latent fingerprint is available. Towards solving this challenge, we propose a method that exploits extended fingerprint features (unusual/rare minutiae) not commonly considered in AFIS. This new method can be combined with any existing minutiae-based matcher. We first compute a similarity score based on least squares between latent and tenprint minutiae points, with rare minutiae features as reference points. Then the similarity score of the reference minutiae-based matcher at hand is modified based on a fitting error from the least square similarity stage. We use a realistic forensic fingerprint casework database in our experiments which contains rare minutiae features obtained from Guardia Civil, the Spanish law enforcement agency. Experiments are conducted using three minutiae-based matchers as a reference, namely: NIST-Bozorth3, VeriFinger-SDK and MCC-SDK. We report significant improvements in the rank identification accuracies when these minutiae matchers are augmented with our proposed algorithm based on rare minutiae features. © 2018 Elsevier B.V.
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| 4. |
- Ruiz-Albacete, V., et al.
(författare)
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Direct attacks using fake images in iris verification
- 2008
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Ingår i: Biometrics and Identity Management. - Berlin : Springer Berlin/Heidelberg. - 9783540899907 ; , s. 181-190
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Konferensbidrag (refereegranskat)abstract
- In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris of the BioSec baseline database. Iris images are printed using a commercial printer and then, presented at the iris sensor. We use for our experiments a publicly available iris recognition system, which some modifications to improve the iris segmentation step. Based on results achieved on different operational scenarios, we show that the system is vulnerable to direct attacks, pointing out the importance of having countermeasures against this type of fraudulent actions. © 2008 Springer Berlin Heidelberg.
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| 5. |
- Tome, P., et al.
(författare)
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On the effects of time variability in iris recognition
- 2008
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Ingår i: BTAS 2008. 2nd IEEE International Conference on Biometrics. - Piscataway, N.J. : IEEE Press. - 9781424427307 ; , s. 411-416
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Konferensbidrag (refereegranskat)abstract
- In this paper, we evaluate the effects of time separation between acquisitions in iris recognition. We use for our experiments a publicly available iris recognition system and the BiosecurlD database, containing 8128 iris images of 254 individuals acquired in four acquisition sessions, separated by one to four weeks between consecutive sessions. Reported results show that time separation between iris samples under comparison has severe impact on the recognition rates. An important degradation on the False Rejection Rate is observed, meaning that the intra-class variability is increased. All images in our database have been acquired under similar controlled conditions and with the same sensor. © 2008 IEEE.
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| 6. |
- Tome, P., et al.
(författare)
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Scenario-based score fusion for face recognition at a distance
- 2010
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Ingår i: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010. - Piscataway, N.J. : IEEE Press. - 9781424470297 ; , s. 67-73
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Konferensbidrag (refereegranskat)abstract
- The effect of different acquisition distances on the performance of face verification is studied. In particular, we evaluate two standard approaches using popular features (DCT and PCA) and matchers (GMM and SVM) under variation in the acquisition distance, as well as their score-level combination. The DCT-GMM-based system is found to be more robust to acquisition distance degradation than the PCASVM-based system. We exploit this fact by introducing an adaptive score fusion scheme based on a novel automatic scenario estimation which is shown to improve our system in uncontrolled environments. © 2010 IEEE.
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