Handbook of Biometrics

Introduction to Biometrics

Jain, A. K., Ross, A. A., & Nandakumar, K. (2011) · Springer eBooks · doi:10.1007/978-0-387-77326-1 · Cited by 992

Hand Geometry Recognition

Zhang, D. D., & Kanhangad, V. (2011) · Springer eBooks · doi:10.1007/978-1-4419-5906-5_878 · Cited by 10

Rotation invariant retina identification based on the sketch of vessels using angular partitioning

Barkhoda, W., Tab, F. A., & Amiri, M. D. (2009) · Proceedings of the International Multiconference on Computer Science and Information Technology · doi:10.1109/imcsit.2009.5352741 · Cited by 15

Speaker recognition using Vector Quantization by MFCC and KMCG clustering algorithm

Kekre, H. B., Bharadi, V. A., Sawant, A., Kadam, O., Lanke, P., & Lodhiya, R. (2012) · International Conference on Communication, Information & Computing Technology · doi:10.1109/iccict.2012.6398146 · Cited by 15

Training and feature-reduction techniques for human identification using anthropometry

Ober, D. B., Neugebauer, S. P., & Sallee, P. A. (2010) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2010.5634519 · Cited by 15

A review study on latent fingerprint recognition techniques

Ezhilmaran, D., & Manickam, A. (2017) · Journal of Information and Optimization Sciences · doi:10.1080/02522667.2016.1224468 · Cited by 15

Digital Face Manipulation in Biometric Systems

Ibsen, M., Rathgeb, C., Fischer, D., Drozdowski, P., & Busch, C. (2022) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-87664-7_2 · Cited by 18

Score reliability based weighting technique for score-level fusion in multi-biometric systems

Kabir, W., Ahmad, M. O., & Swamy, M. N. S. (2016) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2016.7477580 · Cited by 14

Fingerprint Anti-spoofing in Biometric Systems

Javier Galbally, A., Fiérrez, J., Ortega-García, J., & Cappelli, R. (2014) · Advances in computer vision and pattern recognition · doi:10.1007/978-1-4471-6524-8_3 · Cited by 14

Score optimization and template updating in a biometric technique for authentication in mobiles based on gestures

Guerra-Casanova, J., Ávila, C. S., Sierra, A. D. S., & del Pozo, G. B. (2011) · Journal of Systems and Software · doi:10.1016/j.jss.2011.05.059 · Cited by 14

ECG-BASED CONTINUOUS AUTHENTICATION SYSTEM USING ADAPTIVE STRING MATCHING

Coutinho, D., Fred, A. L. N., & Figueiredo, M. A. T. (2011) · International Conference on Bio-inspired Systems and Signal Processing · doi:10.5220/0003292003540359 · Cited by 14

Combining left and right wrist vein images for personal verification

Cheniti, M., Akhtar, Z., Boukezzoula, N., & Falk, T. H. (2017) · International Conference on Image Processing Theory, Tools and Applications (IPTA) · doi:10.1109/ipta.2017.8310109 · Cited by 14

Big Data in Investigating and Preventing Crimes

Bulgakova, E. V., Bulgakov, V., Trushchenkova, I., Vasilev, D., & Кравец, Е. Г. (2018) · Studies in systems, decision and control · doi:10.1007/978-3-030-01358-5_6 · Cited by 14

Ratiometric Impedance Sensing of Fingers for Robust Identity Authentication

Noh, H. W., Ahn, C.-G., Kong, H., & Sim, J. Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-49792-9 · Cited by 16

Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition

Vyas, R., Rahmani, H., Boswell-Challand, R., Angelov, P. P., Black, S. M., & Williams, B. M. (2021) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb52358.2021.9484356 · Cited by 15

Influence of Skin Diseases on Fingerprint Quality and Recognition

Doležel, M., Drahanský, M., Urbanek, J., Březinová, E., & Kim, T.-H. (2012) · InTech eBooks · doi:10.5772/51992 · Cited by 14

EEG-based biometric identification using local probability centers

Mao, C., Hu, B., Wang, M., & Moore, P. T. (2015) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2015.7280344 · Cited by 14

Ear recognition: a complete system

Abaza, A. A., & Harrison, M. A. F. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2015946 · Cited by 14

Using a Discrete Hidden Markov Model Kernel for lip-based biometric identification

Travieso, C. M., Zhang, J., Miller, P. C., & Alonso, J. B. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.10.001 · Cited by 14

Face recognition using phase-based correspondence matching

Ito, K., Aoki, T., Hosoi, T., & Kobayashi, K. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771393 · Cited by 14

Strategy to extract reliable minutia points for fingerprint recognition

Khan, A. I., & Wani, M. A. (2014) · IEEE International Advance Computing Conference · doi:10.1109/iadcc.2014.6779474 · Cited by 14

Statistical analysis of various kernel parameters on SVM based multimodal fusion

Vora, A., Paunwala, C. N., & Paunwala, M. C. (2014) · IEEE India Conference · doi:10.1109/indicon.2014.7030414 · Cited by 14

Multispectral image fusion for illumination-invariant palmprint recognition

Lu, L., Zhang, X., Xu, X., & Shang, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178432 · Cited by 14

[Invited Paper] Recent Advances in Biometric Recognition

Ito, K., & Aoki, T. (2017) · ITE Transactions on Media Technology and Applications · doi:10.3169/mta.6.64 · Cited by 14

Reducing dense local feature key-points for faster iris recognition

Sahu, B., Kumar, P., Bakshi, S., & Sangaiah, A. K. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2017.12.048 · Cited by 14

Recognizability of computer-generated facial approximations in an automated facial recognition context for potential use in unidentified persons data repositories: Optimally and operationally modeled conditions

Parks, C. L., & Monson, K. L. (2018) · Forensic Science International · doi:10.1016/j.forsciint.2018.07.024 · Cited by 14

Adaptive frame selection for improved face recognition in low-resolution videos

Jillela, R. R., & Ross, A. A. (2009) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2009.5178989 · Cited by 14

Biometric identification system based on Principal Component Analysis

Lionnie, R., & Alaydrus, M. (2016) · IMT-GT International Conference Mathematics, Statistics and Their Applications · doi:10.1109/icmsa.2016.7954309 · Cited by 14

Towards distributed recognition of emotion from speech

Han, W., Zhang, Z., Deng, J., Wöllmer, M., Weninger, F. J., & Schuller, B. W. (2012) · International Symposium on Communications, Control and Signal Processing · doi:10.1109/isccsp.2012.6217769 · Cited by 13

On-line signature recognition approach based on wavelets and Support Vector Machines

Emerich, S., Lupu, E., & Rusu, C. (2010) · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) · doi:10.1109/aqtr.2010.5520735 · Cited by 13

Template aging in eye movement-driven biometrics

Komogortsev, O. V., Holland, C. D., & Karpov, A. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2050594 · Cited by 13

A multi-modal dataset, protocol and tools for adaptive biometric systems: a benchmarking study

Rattani, A., Marcialis, G. L., & Roli, F. (2013) · International Journal of Biometrics · doi:10.1504/ijbm.2013.055961 · Cited by 13

Robust personal authentication using finger knuckle geometric and texture features

Usha, K., & Ezhilarasan, M. (2016) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2016.04.006 · Cited by 13

A multi-modal and multi-algorithmic biometric system combining iris and face

Awalkar, K. V., Kanade, S. G., Jadhav, D. V., & Ajmera, P. K. (2015) · doi:10.1109/infop.2015.7489434 · Cited by 13

Iris Image Reconstruction from Binary Templates

Javier Galbally, A., Savvides, M., Venugopalan, S., & Ross, A. A. (2016) · Advances in computer vision and pattern recognition · doi:10.1007/978-1-4471-6784-6_20 · Cited by 13

Palm-Vein Verification Using Images From the Visible Spectrum

Cho, S., Oh, B., Kim, D., & Toh, K. (2021) · IEEE Access · doi:10.1109/access.2021.3089484 · Cited by 13

A Theoretical Model for Describing Iris Dynamics

Clark, A. D., Kulp, S. A., Herron, I. H., & Ross, A. A. (2012) · Springer eBooks · doi:10.1007/978-1-4471-4402-1_7 · Cited by 13

A rotation and scale invariant technique for ear detection in 3D

Prakash, S., & Gupta, P. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.02.021 · Cited by 13

Bio-cryptographic authentication in cloud storage sharing

Velciu, M.-A., Pătraşcu, A., & Patriciu, V.-V. (2014) · IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) · doi:10.1109/saci.2014.6840054 · Cited by 13

Multi-modal biometric modeling and recognition of the human face and ear

Cadavid, S., Mahoor, M. H., & Abdel-Mottaleb, M. S. (2009) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2009.5424152 · Cited by 13

Phase-based image matching and its application to biometric recognition

Ito, K., & Aoki, T. (2013) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipa.2013.6694297 · Cited by 13

Optimization of Iris Codes for Improved Recognition

Mahadeo, N. K., Papliński, A. P., & Ray, S. (2014) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2014.13 · Cited by 13

A Biometric Traits based Authentication System for Indian Voting System

Yadav, S. K. (2013) · Cited by 13

Palm vein recognition based-on minutiae feature and feature matching

Wirayuda, T. A. B. (2015) · doi:10.1109/iceei.2015.7352525 · Cited by 14

A multicultural study of biometric privacy concerns in a fire ground accountability crisis response system

Carpenter, D., Maasberg, M., Hicks, C., & Chen, X. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.02.013 · Cited by 14

When Biometrics Meet IoT: A Survey

Ren, C., Gong, Y., Hao, F., Cai, X.-Y., & Wu, Y. (2015) · Atlantis Press eBooks · doi:10.2991/978-94-6239-148-2_62 · Cited by 13

Bayesian Belief models for integrating match scores with liveness and quality measures in a fingerprint verification system

Ding, Y., Rattani, A., & Ross, A. A. (2016) · International Conference on Biometrics · doi:10.1109/icb.2016.7550095 · Cited by 13

Dimensionality reduced local directional number pattern for face recognition

Perumal, R. S., & Mouli, C. (2016) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-016-0408-x · Cited by 13

Challenges for Fingerprint Recognition—Spoofing, Skin Diseases, and Environmental Effects

Drahanský, M., Kanich, O., & Březinová, E. (2017) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-50673-9_4 · Cited by 13

Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space

Sahmoud, S., & Fathee, H. N. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-40605-9_21 · Cited by 13

User acceptance of voice biometrics in managing the physical access to a secure area of an international airport

Cornacchia, M., Papa, F., & Sapio, B. (2020) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2020.1758655 · Cited by 13

Replay anti-spoofing countermeasure based on data augmentation with post selection

Zhao, Y., Togneri, R. B., & Sreeram, V. (2020) · Computer Speech & Language · doi:10.1016/j.csl.2020.101115 · Cited by 13

Iris Recognition Using Vector Quantization

Kekre, H. B., Sarode, T., Bharadi, V. A., Agrawal, A., Arora, R., & Nair, M. H. (2010) · International Conference on Signal Acquisition and Processing · doi:10.1109/icsap.2010.45 · Cited by 13

ON-LINE SIGNATURE RECOGNITION USING A GLOBAL FEATURES FUSION APPROACH

Lupu, E., Emerich, S., & Beaufort, F. (2009) · Cited by 13

A New Multi-filter Framework with Statistical Dense SIFT Descriptor for Spoofing Detection in Fingerprint Authentication Systems

Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87897-9_39 · Cited by 12

Electroencephalogram-Based Subject Matching Learning (ESML): A Deep Learning Framework on Electroencephalogram-Based Biometrics and Task Identification

Xu, J., Zhou, E., Qin, Z., Bi, T., & Qin, Z. (2023) · Behavioral Sciences · doi:10.3390/bs13090765 · Cited by 12

Cancelable Biometric Template Generation Using Random Feature Vector Transformations

Ragendhu, S. P., Thomas, T., & Emmanuel, S. (2024) · IEEE Access · doi:10.1109/access.2024.3366456 · Cited by 12

A Novel Cross Folding Algorithm for Multimodal Cancelable Biometrics

Paul, P. P., & Gavrilova, M. L. (2012) · International Journal of Software Science and Computational Intelligence · doi:10.4018/jssci.2012070102 · Cited by 12

Quantized embeddings: an efficient and universal nearest neighbor method for cloud-based image retrieval

Rane, S. D., Boufounos, P. T., & Vetro, A. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2022286 · Cited by 12

Generation of iris codes using 1D Log-Gabor filter

Kahlil, A. T., & Abou-Chadi, F. E.-Z. (2010) · International Conference on Computer Engineering & Systems (ICCES) · doi:10.1109/icces.2010.5674879 · Cited by 12

Robust periocular recognition by fusing local to holistic sparse representations

Moreno, J. C., Prasath, V. B. S., & Proença, H. P. M. C. (2013) · International Conference on Security of Information and Networks (SIN) · doi:10.1145/2523514.2523540 · Cited by 12

Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform

Kekre, H. B., Tanuja, K., Pratik, B., Sandhya, N., & Nagpal, D. (2011) · International Journal of Computer Applications · Cited by 12

Hybrid BFO and PSO Swarm Intelligence Approach for Biometric Feature Optimization

Kumar, S., & Singh, S. K. (2016) · International Journal of Swarm Intelligence Research · doi:10.4018/ijsir.2016040103 · Cited by 12

Very low-resolution iris recognition via Eigen-patch super-resolution and matcher fusion

Alonso‐Fernandez, F., Farrugia, R. A., & Bigün, J. (2016) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2016.7791208 · Cited by 12

Multi-Modal Motion-Capture-Based Biometric Systems for Emergency Response and Patient Rehabilitation

Gavrilova, M. L., Ahmed, F., Bari, A. S. M. H., Liu, R., Liu, T., Maret, Y., Sieu, B. K., & Sudhakar, T. (2018) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-5225-7525-2.ch007 · Cited by 12

Advances in Cross-Spectral Iris Recognition Using Integrated Gradientface-Based Normalization

Oktiana, M., Saddami, K., Arnia, F., Away, Y., Hirai, K., Horiuchi, T., & Munadi, K. (2019) · IEEE Access · doi:10.1109/access.2019.2939326 · Cited by 12

Fingerprint Enhancement, Minutiae Extraction and Matching Techniques

Socheat, S., & Wang, T. (2020) · Journal of Computer and Communications · doi:10.4236/jcc.2020.85003 · Cited by 12

A Study on Automatic Latent Fingerprint Identification System

Deshpande, U. U., & Malemath, V. S. (2022) · Journal of Computer Science Research · doi:10.30564/jcsr.v4i1.4388 · Cited by 12

The Current Use of Authentication Technologies: An Investigative Review

Abdulwahid, A. A., Clarke, N., Furnell, S., Stengel, I., & Reich, C. (2015) · International Conference on Cloud Computing · doi:10.1109/cloudcomp.2015.7149658 · Cited by 12

Clinical Data Privacy and Customization via Biometrics Based on ECG Signals

Silva, H., Lourenço, A., Fred, A. L. N., & Filipe, J. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25364-5_12 · Cited by 12

A NEW FAST TECHNIQUE FOR FINGERPRINT IDENTIFICATION WITH FRACTAL AND CHAOS GAME THEORY

Jampour, M., Yaghoobi, M., Ashourzadeh, M., & Nejad, A. S. (2010) · Fractals · doi:10.1142/s0218348x10005020 · Cited by 12

Biometrics via Oculomotor Plant Characteristics: Impact of Parameters in Oculomotor Plant Model

Komogortsev, O. V., Holland, C. D., Karpov, A., & Price, L. R. (2014) · ACM Transactions on Applied Perception · doi:10.1145/2668891 · Cited by 13

Multimodal Biometric-based Secured Authentication System using Steganography

M. (2012) · Journal of Computer Science · doi:10.3844/jcssp.2012.1012.1021 · Cited by 12

An efficient method of biometric matching using interpolated ECG data

Sidek, K. A., Sufi, F. K., Khalil, I., & Al‐Shammary, D. (2010) · IEEE-EMBS Conference on Biomedical Engineering and Sciences · doi:10.1109/iecbes.2010.5742255 · Cited by 12

Fingerprint changes among cancer patients treated with paclitaxel

Azadeh, P., Dashti‐Khavidaki, S., Joybari, A. Y., Sarbaz, S., Jafari, A., Yaseri, M., Amini, A., & Farasatinasab, M. (2016) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-016-2314-1 · Cited by 12

On enhancing serial fusion based multi-biometric verification system

Hossain, M. S., Chen, J., & Rahman, K. A. (2018) · Applied Intelligence · doi:10.1007/s10489-018-1257-4 · Cited by 12

Survey on biometry for cognitive automotive systems

Lozoya-Santos, J. D. J., Sepúlveda-Arróniz, V., Tudón-Martínez, J. C., & Ramírez-Mendoza, R. A. (2019) · Cognitive Systems Research · doi:10.1016/j.cogsys.2019.01.007 · Cited by 12

Combining Multiple Biometric Traits Using Asymmetric Aggregation Operators for Improved Person Recognition

Herbadji, A., Akhtar, Z., Siddique, K., Guermat, N., Ziet, L., Cheniti, M., & Muhammad, K. (2020) · Symmetry · doi:10.3390/sym12030444 · Cited by 12

A Multi-Biometric System Based on Multi-Level Hybrid Feature Fusion

Mehraj, H., & Mir, A. H. (2021) · Herald of the Russian Academy of Sciences · doi:10.1134/s1019331621020039 · Cited by 12

Binary Ant Colony Optimization for Subset Problems

Abd-Alsabour, N. (2015) · Studies in computational intelligence · doi:10.1007/978-3-662-46309-3_4 · Cited by 12

Multi-order analysis framework for comprehensive biometric performance evaluation

Gorodnichy, D. O. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.849801 · Cited by 12

HW/SW co-design of reconfigurable hardware-based genetic algorithm in FPGAs applicable to a variety of problems

Nambiar, V. P., Balakrishnan, S., Khalil-Hani, M., & Marsono, M. N. (2013) · Computing · doi:10.1007/s00607-013-0305-5 · Cited by 12

An Ensemble Method for Classifying Startle Eyeblink Modulation from High-Speed Video Records

Derakhshani, R. R., & Lovelace, C. T. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.15 · Cited by 14

Vulnerabilities and attack protection in security systems based on biometric recognition

Javier Galbally, A. (2009) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · Cited by 12

Spoofing Attack Detection in Face Recognition System Using Vision Transformer with Patch-wise Data Augmentation

Watanabe, K., Ito, K., & Aoki, T. (2022) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipaasc55919.2022.9979996 · Cited by 11

Cancelable Face Recognition Using Deep Steganography

Ito, K., Kozu, T., Kawai, H., Hanawa, G., & Aoki, T. (2023) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2023.3327694 · Cited by 11

GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification

Ou, W., Po, L.-M., Huang, X., Yu, W.-Y., & Zhao, Y. (2024) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2024.3364021 · Cited by 11

Explainable Vision Transformers for Vein Biometric Recognition

Albano, R., Giusti, L., Maiorana, E., & Campisi, P. (2024) · IEEE Access · doi:10.1109/access.2024.3393558 · Cited by 11

A Novel Feature Subset Selection Algorithm Using Artificial Bee Colony in Keystroke Dynamics

Akila, M., Kumar, V. S., Anusheela, N., & Sugumar, K. (2012) · Advances in intelligent and soft computing · doi:10.1007/978-81-322-0491-6_74 · Cited by 11

The Authentication Game - Secure User Authentication by Gamification?

Ebbers, F., & Brüne, P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39696-5_7 · Cited by 11

Fingerprint Recognition Influenced by Skin Diseases

Drahanský, M., Březinová, E., Hejtmánková, D., & Orság, F. (2010) · Bio-Science and Bio-Technology · Cited by 11

Vein Pattern Indexing Using Texture and Hierarchical Decomposition of Delaunay Triangulation

Kavati, I., Prasad, M. V. N. K., & Bhagvati, C. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-40576-1_21 · Cited by 11

Minutiae from Bit-Plane Sliced Thermal Images for Human Face Recognition

Seal, A., Bhattacharjee, D., Nasipuri, M., & Basu, D. K. (2012) · Advances in intelligent and soft computing · doi:10.1007/978-81-322-0491-6_11 · Cited by 11

Zernike's Feature Descriptors for Iris Recognition with SVM

Reyes-Lopez, J., Campos, S., Allende, H., & Rodrigo Salas, F. (2011) · International Conference of the Chilean Computer Science Society (SCCC) · doi:10.1109/sccc.2011.36 · Cited by 11

Usability analysis of a handwritten signature recognition system applied to mobile scenarios

Blanco-Gonzalo, R., Miguel‐Hurtado, O., Sánchez-Reillo, R., & Gonzalez-Ramirez, A. (2013) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2013.6922053 · Cited by 11

Extraction of Teeth Shapes from Orthopantomograms for Forensic Human Identification

Frejlichowski, D., & Wanat, R. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23678-5_6 · Cited by 11

Identity Verification of Individuals Based on Retinal Features Using Gabor Filters and SVM

El-Sayed, M. A., Hassaballah, M., & Latif, M. (2016) · Journal of Signal and Information Processing · doi:10.4236/jsip.2016.71007 · Cited by 11

“Feature level fusion of face, palm vein and palm print modalities using Discrete Cosine Transform”

Gupta, A. D., Malage, A., More, D., Hemane, P. M., Bhautmage, P. P., & Dhandekar, D. (2014) · International Conference on Advances in Engineering & Technology Research · doi:10.1109/icaetr.2014.7012805 · Cited by 11

User-Centric Key Entropy: Study of Biometric Key Derivation Subject to Spoofing Attacks

Dinca, L. M., & Hancke, G. P. (2017) · Entropy · doi:10.3390/e19020070 · Cited by 11

Improving student engagement in a biometric classroom: the contribution of gamification

Milenković, I., Šošević, U., Simić, D., Minović, M., & Milovanović, M. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-019-00676-9 · Cited by 11

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors

Zalasiński, M., Cpałka, K., Laskowski, Ł., Wunsch, D. C., & Przybyszewski, K. (2020) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.2478/jaiscr-2020-0012 · Cited by 11

Towards Fingerprint Spoofing Detection in the Terahertz Range

Pałka, N., & Kowalski, M. (2020) · Sensors · doi:10.3390/s20123379 · Cited by 11

Handbook of biometrics for forensic science

Massimo Tistarelli, A., Champod, C., & Publishing, S. I. (n.d.)

Advanced Hand-based Biometrics

Zhang, B., Zhao, S., Fei, L., & Li, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-0970-6 · Cited by 1

Computer Science Mathematics.

Sevacherian, V., & Spencer, D. D. (1976) · Biometrics · doi:10.2307/2529530 · Cited by 7

Biometrics Based Authentication in Computer Systems

Khare, V. (2011) · International Journal of Computer (IJC)

Biometrics, Computer Security Systems and Artificial Intelligence Applications

Saeed, K., Pejaś, J., & Mosdorf, R. (2006) · Springer eBooks · doi:10.1007/978-0-387-36503-9 · Cited by 24