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Handbook of MultibiometricsFebruary 2011
- Authors:
- Arun A. Ross,
- Karthik Nandakumar,
- Anil K. Jain
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Abstract
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Cited By
Khan S, Devlen C, Manno M and Hou D (2024). Mouse Dynamics Behavioral Biometrics: A Survey, ACM Computing Surveys, 56:6, (1-33), Online publication date: 30-Jun-2024.- Lee J, Oh B and Toh K (2024). Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification, CAAI Transactions on Intelligence Technology, 9:1, (69-86), Online publication date: 13-Feb-2024.
- Kolivand H, Akintoye K, Asadianfam S and Rahim M (2023). Improved methods for finger vein identification using composite Median-Wiener filter and hierarchical centroid features extraction, Multimedia Tools and Applications, 82:21, (31913-31944), Online publication date: 1-Sep-2023.
- Xiao K, Tian Y, Lu Y, Lai Y and Wang X (2022). Quality assessment-based iris and face fusion recognition with dynamic weight, The Visual Computer: International Journal of Computer Graphics, 38:5, (1631-1643), Online publication date: 1-May-2022.
- Yang F, Chen Z and Gangopadhyay A (2022). Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks, IEEE Transactions on Knowledge and Data Engineering, 34:2, (969-982), Online publication date: 1-Feb-2022.
- Brown D and Bradshaw K (2022). Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples, SN Computer Science, 3:1, Online publication date: 1-Jan-2022.
- Pisani P, Mhenni A, Giot R, Cherrier E, Poh N, Ferreira de Carvalho A, Rosenberger C and Amara N (2019). Adaptive Biometric Systems, ACM Computing Surveys, 52:5, (1-38), Online publication date: 30-Sep-2020.
- Nambiar A, Bernardino A and Nascimento J (2019). Gait-based Person Re-identification, ACM Computing Surveys, 52:2, (1-34), Online publication date: 31-Mar-2020.
- Panchal G, Samanta D and Barman S (2019). Biometric-based cryptography for digital content protection without any key storage, Multimedia Tools and Applications, 78:19, (26979-27000), Online publication date: 1-Oct-2019.
- Takahashi K, Matsuda T, Murakami T, Hanaoka G and Nishigaki M (2019). Signature schemes with a fuzzy private key, International Journal of Information Security, 18:5, (581-617), Online publication date: 1-Oct-2019.
- Yang F, Chen Z and Gangopadhyay A Using Randomness to Improve Robustness of Tree-based Models Against Evasion Attacks Proceedings of the ACM International Workshop on Security and Privacy Analytics, (25-35)
- Deshpande P, Mukherji P and Tavildar A (2019). An accurate hand-based multimodal biometric recognition system with optimised sum rule for higher security applications, International Journal of Biometrics, 11:3, (222-242), Online publication date: 1-Jan-2019.
- Engelsma J, Cao K and Jain A Fingerprint Match in Box 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), (1-10)
- Akhtar Z, Hadid A, Nixon M, Tistarelli M, Dugelay J and Marcel S (2018). Biometrics: In Search of Identity and Security (Q & A), IEEE MultiMedia, 25:3, (22-35), Online publication date: 1-Jul-2018.
- Cabra J, Mendez D and Trujillo L Wide Machine Learning Algorithms Evaluation Applied to ECG Authentication and Gender Recognition Proceedings of the 2018 2nd International Conference on Biometric Engineering and Applications, (58-64)
- Galbally J, Coisel I and Sanchez I (2017). A New Multimodal Approach for Password Strength Estimation—Part I: Theory and Algorithms, IEEE Transactions on Information Forensics and Security, 12:12, (2829-2844), Online publication date: 1-Dec-2017.
- Vishi K and Jøsang A A new approach for multi-biometric fusion based on subjective logic Proceedings of the 1st International Conference on Internet of Things and Machine Learning, (1-9)
- Zhang H, Patel V and Chellappa R (2017). Low-Rank and Joint Sparse Representations for Multi-Modal Recognition, IEEE Transactions on Image Processing, 26:10, (4741-4752), Online publication date: 1-Oct-2017.
- Zhao X, Wang X and Wang H (2017). Multi-view dimensionality reduction via subspace structure agreement, Multimedia Tools and Applications, 76:16, (17437-17460), Online publication date: 1-Aug-2017.
- Toli C, Aly A and Preneel B A Privacy-Preserving Model for Biometric Fusion Cryptology and Network Security, (743-748)
- Mezai L and Hachouf F Score level fusion algorithm using Differential Evolution and Proportional Conflict Redistribution rule 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (001051-001056)
- Narang N and Bourlai T On the effectiveness of statistical hypothesis testing in infrared-based face recognition in heterogeneous environments Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, (1278-1285)
- Pala F, Satta R, Fumera G and Roli F (2016). Multimodal Person Reidentification Using RGB-D Cameras, IEEE Transactions on Circuits and Systems for Video Technology, 26:4, (788-799), Online publication date: 1-Apr-2016.
- Yang P and Zhao P A Min-Max Optimization Framework For Online Graph Classification Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, (643-652)
- Maiorana E, Hine G and Campisi P (2015). Hill-Climbing Attacks on Multibiometrics Recognition Systems, IEEE Transactions on Information Forensics and Security, 10:5, (900-915), Online publication date: 1-May-2015.
- Ghahramani M, Yau W and Teoh E (2014). Family verification based on similarity of individual family member's facial segments, Machine Vision and Applications, 25:4, (919-930), Online publication date: 1-May-2014.
- Anzar S and Sathidevi P Multi-normalization Proceedings of the International Conference on Advances in Computing, Communications and Informatics, (931-937)
- Thatte G, Li M, Lee S, Emken A, Narayanan S, Mitra U, Spruijt-Metz D and Annavaram M (2012). KNOWME, ACM Transactions on Embedded Computing Systems, 11:S2, (1-24), Online publication date: 1-Aug-2012.
- Marasco E, Johnson P, Sansone C and Schuckers S Increase the security of multibiometric systems by incorporating a spoofing detection algorithm in the fusion mechanism Proceedings of the 10th international conference on Multiple classifier systems, (309-318)
- Gawande U, Zaveri M and Kapur A A novel multialgoritmic approach for improving accuracy of iris recognition using Haar, multiresolution and new block sum method Proceedings of the International Conference & Workshop on Emerging Trends in Technology, (576-582)
- Nanni L, Lumini A and Brahnam S (2011). Likelihood ratio based features for a trained biometric score fusion, Expert Systems with Applications: An International Journal, 38:1, (58-63), Online publication date: 1-Jan-2011.
- Allano L, Dorizzi B and Garcia-Salicetti S (2010). Tuning cost and performance in multi-biometric systems, Pattern Recognition Letters, 31:9, (884-890), Online publication date: 1-Jul-2010.
- Marasco E and Sansone C Improving the Accuracy of a Score Fusion Approach Based on Likelihood Ratio in Multimodal Biometric Systems Proceedings of the 15th International Conference on Image Analysis and Processing, (509-518)
- Tronci R, Giacinto G and Roli F (2009). Designing multiple biometric systems, Engineering Applications of Artificial Intelligence, 22:1, (66-78), Online publication date: 1-Feb-2009.
- Prasad S, Govindan V and Sathidevi P Bimodal personal recognition using hand images Proceedings of the International Conference on Advances in Computing, Communication and Control, (403-409)
- Biermann M, Hoppe T, Dittmann J and Vielhauer C Vehicle systems Proceedings of the 10th ACM workshop on Multimedia and security, (185-194)
- Faundez-Zanuy M and Chetouani M Nonlinear predictive models Progress in nonlinear speech processing, (170-189)
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