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

An Efficient Finger-Knuckle-Print Based Recognition System Fusing SIFT and SURF Matching Scores

Badrinath, G. S., Nigam, A., & Gupta, P. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25243-3_30 · Cited by 68

Face recognition for cattle

Kumar, S., Tiwari, S., & Singh, S. K. (2015) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip.2015.7414742 · Cited by 67

A novel octopus based Parkinson’s disease and gender recognition method using vowels

Tuncer, T., & Doğan, Ş. (2019) · Applied Acoustics · doi:10.1016/j.apacoust.2019.05.019 · Cited by 66

Sensitivity analysis for biometric systems: A methodology based on orthogonal experiment designs

Lee, Y., Filliben, J. J., Micheals, R. J., & Phillips, P. J. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.01.003 · Cited by 67

3-D face recognition: features, databases, algorithms and challenges

Patil, H. Y., Kothari, A., & Bhurchandi, K. M. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-015-9431-0 · Cited by 68

Privacy-preserving iris authentication using fully homomorphic encryption

Morampudi, M. K., Prasad, M. V. N. K., & Raju, U. S. N. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08680-5 · Cited by 65

Authentication in mobile devices through hand gesture recognition

Guerra-Casanova, J., Ávila, C. S., Bailador, G., & Sierra, A. D. S. (2012) · International Journal of Information Security · doi:10.1007/s10207-012-0154-9 · Cited by 64

Encoding local image patterns using Riesz transforms: With applications to palmprint and finger-knuckle-print recognition

Zhang, L., & Li, H. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.09.003 · Cited by 63

Developments in the human machine interface technologies and their applications: a review

Singh, H. P., & Kumar, P. (2021) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2021.1936237 · Cited by 67

Multi-Biometric Template Protection: Issues and Challenges

Rathgeb, C., & Busch, C. (2012) · InTech eBooks · doi:10.5772/52152 · Cited by 62

A new soft biometric approach for keystroke dynamics based on gender recognition

Giot, R., & Rosenberger, C. (2012) · International Journal of Information Technology and Management · doi:10.1504/ijitm.2012.044062 · Cited by 62

On guided model-based analysis for ear biometrics

Arbab‐Zavar, B., & Nixon, M. S. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.11.014 · Cited by 62

Multimodal biometric system for ECG, ear and iris recognition based on local descriptors

Regouid, M., Touahria, M., Benouis, M., & Costen, N. P. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7467-x · Cited by 65

FVT: Finger Vein Transformer for Authentication

Huang, J., Luo, W., Yang, W., Zheng, A., Lian, F., & Kang, W. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3173276 · Cited by 62

3-D Ear Modeling and Recognition From Video Sequences Using Shape From Shading

Cadavid, S., & Abdel-Mottaleb, M. S. (2008) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2008.2007239 · Cited by 61

Anti-spoofing in Action: Joint Operation with a Verification System

Chingovska, I., Anjos, A., & Marcel, S. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2013.22 · Cited by 62

Continuous authentication using biometrics: An advanced review

Dahia, G., Jesus, L., & Segundo, M. P. (2020) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1365 · Cited by 75

Novel digital technologies implemented in sensory science and consumer perception

Fuentes, S., Tongson, E. J., & Viejo, C. G. (2021) · Current Opinion in Food Science · doi:10.1016/j.cofs.2021.03.014 · Cited by 60

Quality based rank-level fusion in multibiometric systems

Abaza, A. A., & Ross, A. A. (2009) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2009.5339081 · Cited by 60

Influence of Skin Diseases on Fingerprint Recognition

Drahanský, M., Doležel, M., Urbanek, J., Březinová, E., & Kim, T.-H. (2012) · BioMed Research International · doi:10.1155/2012/626148 · Cited by 60

A study on using mid-wave infrared images for face recognition

Bourlai, T., Ross, A. A., Chen, C., & Hornak, L. A. (2012) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.918899 · Cited by 60

Robust iris indexing scheme using geometric hashing of SIFT keypoints

Mehrotra, H., Majhi, B., & Gupta, P. (2009) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2009.12.005 · Cited by 60

Relating ROC and CMC curves via the biometric menagerie

DeCann, B. M., & Ross, A. A. (2013) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2013.6712705 · Cited by 60

Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics

Miguel‐Hurtado, O., Guest, R., Stevenage, S. V., Neil, G. J., & Black, S. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165521 · Cited by 62

Fusion of Matching Algorithms for Human Identification Using Dental X-Ray Radiographs

Nomir, O., & Abdel-Mottaleb, M. S. (2008) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2008.919343 · Cited by 59

Multimodal biometric cryptosystem for human authentication using fingerprint and ear

Chanukya, P. S. V. V. N., & Thivakaran, T. K. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08123-w · Cited by 58

Multimodal Cancelable Biometrics

Paul, P. P., & Gavrilova, M. L. (2012) · IEEE International Conference on Cognitive Informatics · doi:10.1109/icci-cc.2012.6311208 · Cited by 57

Aging in Biometrics: An Experimental Analysis on On-Line Signature

Javier Galbally, A., Martinez‐Diaz, M., & Fiérrez, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069897 · Cited by 57

Walk the Walk: Attacking Gait Biometrics by Imitation

Mjaaland, B. B., Bours, P., & Gligoroski, D. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-18178-8_31 · Cited by 56

A Survey Of mobile face biometrics

Rattani, A., & Derakhshani, R. R. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.09.005 · Cited by 62

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

Kang, J. J., Yang, W., Dermody, G., Ghasemian, M., Adibi, S., & Haskell‐Dowland, P. (2020) · IEEE Access · doi:10.1109/access.2020.3035812 · Cited by 58

Improving the Enrollment in Dynamic Signature Verfication with Synthetic Samples

Javier Galbally, A., Fiérrez, J., Martinez‐Diaz, M., & Ortega-García, J. (2009) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2009.38 · Cited by 55

An accurate infrared hand geometry and vein pattern based authentication system

Gupta, P., Srivastava, S., & Gupta, P. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.04.008 · Cited by 55

How far did we get in face spoofing detection?

Souza, L., de Oliveira, L. R., Segundo, M. P., & Papa, J. P. (2018) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2018.04.013 · Cited by 56

Continuous and transparent multimodal authentication: reviewing the state of the art

Abdulwahid, A. A., Clarke, N., Stengel, I., Furnell, S., & Reich, C. (2015) · Cluster Computing · doi:10.1007/s10586-015-0510-4 · Cited by 54

Security keys: Practical cryptographic second factors for the modern web

Lang, J., Czeskis, A., Balfanz, D., Schilder, M., & Srinivas, S. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-54970-4_25 · Cited by 54

A survey on face presentation attack detection mechanisms: hitherto and future perspectives

Sharma, D., & Selwal, A. (2023) · Multimedia Systems · doi:10.1007/s00530-023-01070-5 · Cited by 62

Soft biometrics: a survey

Hassan, B., Ebroul Izquierdo, M., & Piatrik, T. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-10622-8 · Cited by 52

A finger-knuckle-print recognition algorithm using phase-based local block matching

Aoyama, S., Ito, K., & Aoki, T. (2013) · Information Sciences · doi:10.1016/j.ins.2013.08.025 · Cited by 52

A comparison of imputation methods for handling missing scores in biometric fusion

Ding, Y., & Ross, A. A. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.08.002 · Cited by 52

Toward accurate localization and high recognition performance for noisy iris images

Wang, N., Li, Q., El‐Latif, A. A. A., Zhang, T., & Niu, X. (2012) · Multimedia Tools and Applications · doi:10.1007/s11042-012-1278-7 · Cited by 51

Biometrics in Forensic Identification: Applications and Challenges

Saini, M., & Kapoor, A. K. (2016) · Journal of Forensic Medicine · doi:10.4172/2472-1026.1000108 · Cited by 49

A Multi-Biometric System Based on Feature and Score Level Fusions

Kabir, W., Ahmad, M. O., & Swamy, M. N. S. (2019) · IEEE Access · doi:10.1109/access.2019.2914992 · Cited by 50

Acceptance of AI-powered facial recognition technology in surveillance scenarios: Role of trust, security, and privacy perceptions

Choung, H., David, P., & Ling, T.-W. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102721 · Cited by 61

Iris segmentation using variational level set method

Roy, K., Bhattacharya, P., & Suen, C. Y. (2011) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2010.09.011 · Cited by 49

Ultrasound Systems for Biometric Recognition

Iula, A. (2019) · Sensors · doi:10.3390/s19102317 · Cited by 49

Automatic identification of cattle using muzzle point pattern: a hybrid feature extraction and classification paradigm

Kumar, S., & Singh, S. K. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4181-9 · Cited by 48

Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are

Lovato, P., Bicego, M., Segalin, C., Perina, A., Sebe, N., & Cristani, M. (2014) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2014.2298370 · Cited by 47

Heat-ray

Dunagan, J., Zheng, A. X., & Simon, D. R. (2009) · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · doi:10.1145/1629575.1629605 · Cited by 47

Biometrie identification from raw ECG signal using deep learning techniques

Więcław, Ł., Khoma, Y., Fałat, P., Sabodashko, D., & Herasymenko, V. (2017) · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) · doi:10.1109/idaacs.2017.8095063 · Cited by 47

Novel Algorithm for the On-Line Signature Verification

Zalasiński, M., & Cpałka, K. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-29350-4_44 · Cited by 46

Two-Factor Authentication or How to Potentially Counterfeit Experimental Results in Biometric Systems

Rathgeb, C., & Uhl, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13775-4_30 · Cited by 46

Speaker age estimation and gender detection based on supervised Non-Negative Matrix Factorization

Bahari, M. H., & hamme, H. V. (2011) · IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) · doi:10.1109/bioms.2011.6052385 · Cited by 46

Affective signal processing (ASP) : unraveling the mystery of emotions

van den Broek, E. L. (2011) · doi:10.3990/1.9789036532433 · Cited by 46

Bio-medical and latent fingerprint enhancement and matching using advanced scalable soft computing models

Manickam, A., Ezhilmaran, D., Manogaran, G., Chilamkurti, N., Vijayan, V., Saraff, S., Samuel, R. D. J., & Krishnamoorthy, R. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-1152-1 · Cited by 45

Periocular biometrics: An emerging technology for unconstrained scenarios

Santos, G. N. C., & Proença, H. P. M. C. (2013) · IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) · doi:10.1109/cibim.2013.6607908 · Cited by 44

HyFiPAD: a hybrid approach for fingerprint presentation attack detection using local and adaptive image features

Sharma, D., & Selwal, A. (2021) · The Visual Computer · doi:10.1007/s00371-021-02173-8 · Cited by 44

Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Ye, J., & Ji, S. (2009) · John Wiley & Sons, Inc. eBooks · doi:10.1002/9780470522356.ch1 · Cited by 43

Fast periocular authentication in handheld devices with reduced phase intensive local pattern

Bakshi, S., Sa, P. K., Wang, H., Barpanda, S. S., & Majhi, B. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4965-6 · Cited by 43

Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups

Zalasiński, M., & Cpałka, K. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38658-9_44 · Cited by 42

The identification of living persons on images: A literature review

Gibelli, D., Obertová, Z., Ritz-Timme, S., Gabriel, P., Arent, T., Ratnayake, M., De Angelis, D., & Cattaneo, C. (2016) · Legal Medicine · doi:10.1016/j.legalmed.2016.02.001 · Cited by 38

Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN

Takahashi, A., Koda, Y., Ito, K., & Aoki, T. (2020) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb48548.2020.9304861 · Cited by 45

New Method for Dynamic Signature Verification Using Hybrid Partitioning

Zalasiński, M., Cpałka, K., & Er, M. J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07176-3_20 · Cited by 41

New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning

Zalasiński, M., & Cpałka, K. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38610-7_32 · Cited by 41

Identifying Users by Their Hand Tracking Data in Augmented and Virtual Reality

Liebers, J., Brockel, S., Gruenefeld, U., & Schneegaß, S. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2120845 · Cited by 41

Biometric verification via complex eye movements: The effects of environment and stimulus

Holland, C. D., & Komogortsev, O. V. (2012) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2012.6374556 · Cited by 41

An enhanced thermal face recognition method based on multiscale complex fusion for Gabor coefficients

Wang, N., Li, Q., El‐Latif, A. A. A., Peng, J., & Niu, X. (2013) · Multimedia Tools and Applications · doi:10.1007/s11042-013-1551-4 · Cited by 41

Feasibility of correlation mapping optical coherence tomography (cmOCT) for anti‐spoof sub‐surface fingerprinting

Zam, A., Dsouza, R., Subhash, H. M., O’Connell, M.-L., Enfield, J. G., Larin, K. V., & Leahy, M. J. (2013) · Journal of Biophotonics · doi:10.1002/jbio.201200231 · Cited by 41

Age estimation based on face images and pre-trained convolutional neural networks

Anand, A., Labati, R. D., Genovese, A., Muñoz, E., Piuri, V., & Scotti, F. (2017) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2017.8285381 · Cited by 41

New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features

Zalasiński, M., Łapa, K., & Cpałka, K. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38610-7_11 · Cited by 40

Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability

Sellami, M. H., Albrizio, R., Čolović, M., Hamze, M., Cantore, V., Todorović, M., Piscitelli, L., & Stellacci, A. M. (2022) · Agronomy · doi:10.3390/agronomy12020489 · Cited by 40

MonogenicCode: A Novel Fast Feature Coding Algorithm with Applications to Finger-Knuckle-Print Recognition

Zhang, L., Lei Zhang, A., & Zhang, D. D. (2010) · doi:10.1109/etchb.2010.5559286 · Cited by 40

Scale Invariant Gabor Descriptor-Based Noncooperative Iris Recognition

Du, E. Y., Belcher, C., & Zhou, Z. (2010) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2010/936512 · Cited by 40

Cross-view gait recognition using view-dependent discriminative analysis

Mansur, A., Makihara, Y., Muramatsu, D., & Yagi, Y. (2014) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/btas.2014.6996272 · Cited by 40

Reference Threshold Calculation for Biometric Authentication

Malik, J., Girdhar, D., Dahiya, R., & Sainarayanan, G. (2014) · International Journal of Image Graphics and Signal Processing · doi:10.5815/ijigsp.2014.02.06 · Cited by 41

Fuzzy approach for intrusion detection based on user’s commands

Kudłacik, P., Porwik, P., & Wesołowski, T. E. (2015) · Soft Computing · doi:10.1007/s00500-015-1669-6 · Cited by 40

Online Handwritten Signature Verification Using Neural Network Classifier Based on Principal Component Analysis

Iranmanesh, V., Ahmad, S. M. S., Adnan, W. A. W., Yussof, S., Arigbabu, O. A., & Malallah, F. L. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/381469 · Cited by 40

Digital images authentication scheme based on bimodal biometric watermarking in an independent domain

Wójtowicz, W., & Ogiela, M. R. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.02.006 · Cited by 40

A Review on Evolutionary Feature Selection

Abd-Alsabour, N. (2014) · UKSim European Symposium on Computer Modeling and Simulation (EMS) · doi:10.1109/ems.2014.28 · Cited by 40

Human gait recognition based on Haralick features

Lishani, A. O., Boubchir, L., Khalifa, E., & Bouridane, A. (2017) · Signal Image and Video Processing · doi:10.1007/s11760-017-1066-y · Cited by 40

A Fuzzy Authentication System Based on Neural Network Learning and Extreme Value Statistics

Qin, Z., Huang, G., Xiong, H., Qin, Z., & Choo, K. R. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2956896 · Cited by 40

A novel phase-intensive local pattern for periocular recognition under visible spectrum

Bakshi, S., Sa, P. K., & Majhi, B. (2014) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2014.05.003 · Cited by 39

Deriving cryptographic keys from physiological signals

Altop, D. K., Levi, A. W., & Tuzcu, V. (2016) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2016.08.004 · Cited by 39

Accurate ROI localization and hierarchical hyper-sphere model for finger-vein recognition

Yang, J., Wei, J., & Shi, Y. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.098 · Cited by 39

Enabling Secure and Privacy Preserving Identity Management via Smart Contract

Liu, Y., Sun, G., & Schuckers, S. (2019) · IEEE Conference on Communications and Network Security · doi:10.1109/cns.2019.8802771 · Cited by 39

An evaluation of indirect attacks and countermeasures in fingerprint verification systems

Martinez‐Diaz, M., Fiérrez, J., Javier Galbally, A., & Ortega-García, J. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.04.005 · Cited by 39

Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse

Tran, N. C., Wang, J., Vu, T. H., Tai, T.-C., & Wang, J. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-022-04680-4 · Cited by 38

An adaptive bimodal recognition framework using sparse coding for face and ear

Huang, Z., Liu, Y., Li, X., & Li, J. (2014) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.10.009 · Cited by 38

An Efficient Biometric and Password-Based Remote User Authentication using Smart Card for Telecare Medical Information Systems in Multi-Server Environment

Maitra, T., & Giri, D. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0142-x · Cited by 38

Multi-modal fusion of palm-dorsa vein pattern for accurate personal authentication

Gupta, P., & Gupta, P. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.03.007 · Cited by 38

Automatic frontal sinus recognition in computed tomography images for person identification

de Souza, L. A., Jr., Marana, A. N., & Weber, S. A. T. (2018) · Forensic Science International · doi:10.1016/j.forsciint.2018.03.029 · Cited by 38

Biometric recognition via texture features of eye movement trajectories in a visual searching task

Li, C., Xue, J., Quan, C., Yue, J., & Zhang, C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194475 · Cited by 38

Local Attention Transformer-Based Full-View Finger-Vein Identification

Qin, H., Hu, R., El‐Yacoubi, M. A., Li, Y., & Gao, X. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3227385 · Cited by 38

A user-specific and selective multimodal biometric fusion strategy by ranking subjects

Poh, N., Ross, A. A., Lee, W., & Kittler, J. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2013.03.018 · Cited by 37

Human gait recognition using GEI-based local multi-scale feature descriptors

Lishani, A. O., Boubchir, L., Khalifa, E., & Bouridane, A. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5752-8 · Cited by 37

Fusing iris and conjunctival vasculature: Ocular biometrics in the visible spectrum

Gottemukkula, V., Saripalle, S. K., Tankasala, S. P., Derakhshani, R. R., Pasula, R., & Ross, A. A. (2012) · IEEE Conference on Technologies for Homeland Security (HST) · doi:10.1109/ths.2012.6459841 · Cited by 36

Age and Gender Prediction from Face Images Using Convolutional Neural Network

Ito, K., Kawai, H., Okano, T., & Aoki, T. (2018) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipa.2018.8659655 · Cited by 36

Information-theoretical feature selection using data obtained by Scanning Electron Microscopy coupled with and Energy Dispersive X-ray spectrometer for the classification of glass traces

Ramos, D., & Zadora, G. (2011) · Analytica Chimica Acta · doi:10.1016/j.aca.2011.05.029 · Cited by 36

ECG Signal as Robust and Reliable Biometric Marker: Datasets and Algorithms Comparison

Pelc, M., Khoma, Y., & Khoma, V. (2019) · Sensors · doi:10.3390/s19102350 · Cited by 35

Demographic Fairness in Biometric Systems: What Do the Experts Say?

Rathgeb, C., Drozdowski, P., Frings, D., Damer, N., & Busch, C. (2022) · IEEE Technology and Society Magazine · doi:10.1109/mts.2022.3217700 · Cited by 43

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