The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Handbook of Biometrics
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The expression swap and attribute manipulation, although only tampers with the soft biometrics (Jain et al. 2007) (pertains to facial attributes) of the subject, may also pose risks to certain applicable scenarios where people can easily verify the identity of the subject, but not what she/he says, such as in political elections”
From Countering Malicious DeepFakes: Survey, Battleground, and Horizon (2022) · cites this paper as Jain et al. 2007
In the citing paper
“The identity swap, altering the hard biometrics (Jain et al. 2007) (pertains to identity information) of a subject, poses risks to a wide range of safety-critical scenarios since the identity information is tampered.”
From Countering Malicious DeepFakes: Survey, Battleground, and Horizon (2022) · cites this paper as Jain et al. 2007
Citations
Cites
Jain, A. K., Ross, A. A., & Nandakumar, K. (2011) · Springer eBooks · doi:10.1007/978-0-387-77326-1 · Cited by 992
Self-citationZhang, D. D., & Kanhangad, V. (2011) · Springer eBooks · doi:10.1007/978-1-4419-5906-5_878 · Cited by 10
Flagged first, then by citations
Cited by
Sorted by citations
Items 601–700 of 1,001
Kamboj, A., Rani, R., & Nigam, A. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10264-2 · Cited by 8
Hammouche, R., Attıa, A., & Akhrouf, S. (2022) · Evolving Systems · doi:10.1007/s12530-022-09430-8 · Cited by 8
Comparative study of 1D-local descriptors for ear biometric system
Regouid, M., Touahria, M., Benouis, M., Mostefai, L., & Lamiche, I. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12700-x · Cited by 8
Debnath, N., Gupta, R., Nongthombam, R. S., & Chandran, P. (2016) · Journal of Medical Society · doi:10.4103/0972-4958.175794 · Cited by 8
Hand Vein Authentication System Using Dynamic ROI
Prasad, M. V. N. K., Kavati, I., & Ravindra, K. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-40576-1_20 · Cited by 8
Biometric Human Identification of Hand Geometry Features Using Discrete Wavelet Transform
Villegas, O. O. V., Domínguez, H. D. J. O., Sánchez, V. G. C., Ortega, L., & Orozco, H. M. (2011) · InTech eBooks · doi:10.5772/19508 · Cited by 8
Statistical Evaluation of Biometric Evidence in Forensic Automatic Speaker Recognition
Drygajlo, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03521-0_1 · Cited by 8
Seabra, J., & Fred, A. L. N. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-11721-3_22 · Cited by 8
Parallel geometric hashing for robust iris indexing
Panda, A. C., Mehrotra, H., & Majhi, B. (2011) · Journal of Real-Time Image Processing · doi:10.1007/s11554-011-0220-y · Cited by 8
Retinal scan recognition using wavelet energy entropy
Vora, R. A., Bharadi, V. A., & Kekre, H. B. (2012) · International Conference on Communication, Information & Computing Technology · doi:10.1109/iccict.2012.6398120 · Cited by 8
An Efficient 3D Face Recognition Algorithm
Kaushik, V. D., Budhwar, A., Dubey, A., Agrawal, R., Gupta, S., Pathak, V. K., & Gupta, P. (2009) · IFIP International Conference on New Technologies, Mobility and Security (NTMS) · doi:10.1109/ntms.2009.5384750 · Cited by 8
INTRAMODAL FEATURE FUSION BASED ON PSO FOR PALMPRINT AUTHENTICATION
Krishneswari, K., Arumugam, S., & Nandha Educational Institutions, I. (2012) · ICTACT Journal on Image and Video Processing · doi:10.21917/ijivp.2012.0062 · Cited by 8
Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition
Muramatsu, D., Yasuda, K., & Matsumoto, T. (2009) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2009.112 · Cited by 8
A review of information fusion techniques employed in iris recognition systems
Radu, P., Sirlantzis, K., Howells, G., Deravi, F., & Hoque, S. (2012) · International Journal of Advanced Intelligence Paradigms · doi:10.1504/ijaip.2012.052067 · Cited by 8
An accurate slap fingerprint based verification system
Gupta, P., & Gupta, P. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.01.111 · Cited by 8
Chapter 5 – High-level feature extraction: fixed shape matching
Nixon, M. S. (2012) · Cited by 8
A novel approach for palm vein feature extraction using Gabor and canny edge detector
Raut, S. D., & Humbe, V. T. (2015) · IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) · doi:10.1109/iccic.2015.7435689 · Cited by 8
Cocioceanu, A., Barbulescu, M., Ivanoaica, T., Raportaru, M. C., & Nicolin, A. I. (2016) · RoEduNet Conference: Networking in Education and Research (RoEduNet) · doi:10.1109/roedunet.2016.7753205 · Cited by 8
Shifted 1D-LBP Based ECG Recognition System
Regouid, M., & Benouis, M. (2018) · Lecture notes in networks and systems · doi:10.1007/978-3-030-05481-6_13 · Cited by 8
Biometric Technologies for eLearning: State-of-the-Art, Issues and Challenges
Rathgeb, C., Pöppelmann, K., & González-Sosa, E. (2020) · International Conference on Emerging eLearning Technologies and Applications (ICETA) · doi:10.1109/iceta51985.2020.9379242 · Cited by 8
Contactless person recognition using 2D and 3D finger knuckle patterns
Chaa, M., Akhtar, Z., & Lati, A. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12111-y · Cited by 8
A Contactless Identification System Based on Hand Shape Features
Bernardos, A. M., Sanchez, J. M. P., Portillo, J. I., Besada, J. A., & Casar, J. R. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.05.051 · Cited by 8
Frejlichowski, D., & Czapiewski, P. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40925-7_7 · Cited by 8
Rommetveit, K. (2011) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180111000326 · Cited by 8
Shaped Wavelets for Curvilinear Structures for Ear Biometrics
Ibrahim, M. I. S., Nixon, M. S., & Mahmoodi, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-17289-2_48 · Cited by 8
Advanced Biometric Technologies: Emerging Scenarios and Research Trends
Genovese, A., Muñoz, E., Piuri, V., & Scotti, F. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-04834-1_17 · Cited by 8
Calibrated Confidence Scoring for Biometric Identification
Gorodnichy, D. O., & Hoshino, R. (2010) · Cited by 8
Verification of Aging Faces Using Local Ternary Patterns and Q-Stack Classifier
Drygajlo, A., Li, W., & Zhu, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04391-8_4 · Cited by 8
Dlamini, N., & van Zyl, T. L. (2021) · Sensors · doi:10.3390/s21186109 · Cited by 8
Evaluating the Performance of Speaker Recognition Solutions in E-Commerce Applications
Krčadinac, O., Šošević, U., & Starčević, D. (2021) · Sensors · doi:10.3390/s21186231 · Cited by 7
Human Voice Sensing Through Radio Frequency Technologies: A Comprehensive Review
Wu, Y., Han, J., Jian, Z., & Xu, W. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3381252 · Cited by 7
Untaru, E., Chi, X., Hee-kyoung, J., Chua, B., & Han, H. (2024) · Tourism Planning & Development · doi:10.1080/21568316.2024.2366413 · Cited by 8
Sejjari, A., Moujahdi, C., Assad, N., & Haidine, A. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03532-3 · Cited by 7
Wibawa, P. A., Wirayuda, T. A. B., & Sthevanie, F. (2014) · International Conference on Information Technology Systems and Innovation · doi:10.1109/icitsi.2014.7048246 · Cited by 7
“Has this person been encountered before?”: Modeling an anonymous identification system
DeCann, B. M., & Ross, A. A. (2012) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2012.6239221 · Cited by 7
Self-citationA multi‐resolution multi‐classifier system for speaker verification
Impedovo, D., Pirlo, G., & Petrone, M. (2011) · Expert Systems · doi:10.1111/j.1468-0394.2011.00603.x · Cited by 7
Genetic and evolutionary methods for biometric feature reduction
Alford, A., Bryant, K. S., Abegaz, T. T., Dozier, G. V., Kelly, J. C., Shelton, J., Small, L., Williams, J., Woodard, D. L., & Ricanek, K. (2012) · International Journal of Biometrics · doi:10.1504/ijbm.2012.047642 · Cited by 7
Palmprint recognition using Kekre's wavelet's energy entropy based feature vector
Kekre, H. B., Bharadi, V. A., Singh, V., & Ambardekar, A. A. (2011) · International Conference & Workshop on Emerging Trends in Technology · doi:10.1145/1980022.1980031 · Cited by 7
A REVIEW OF IRIS RECOGNITION SYSTEM
Dehkordi, A. B., & Abu–Bakar, S. A. R. (2015) · Jurnal Teknologi · doi:10.11113/jt.v77.4228 · Cited by 7
Voit, A., & Schneegaß, S. (2017) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3152832.3156622 · Cited by 7
Biometric Authentication using Soft Biometric Traits
Garg, R., Arora, A., Singh, S., & Saraswat, S. (2018) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc.2018.8745766 · Cited by 7
Automotive Start-Stop Engine Based on Face Recognition System
Lim, W., Winda, A., Dewanto, S., Tan, S., & Solihin, M. I. (2019) · E3S Web of Conferences · doi:10.1051/e3sconf/201913001020 · Cited by 7
Kovač, I., & Marák, P. (2020) · Tatra Mountains Mathematical Publications · doi:10.2478/tmmp-2020-0012 · Cited by 7
Securing E-payment Systems by RFID and Deep Facial Biometry
Benamara, N. K., Keche, M., Wellington, M. S., & Zhou, M. (2021) · International Conference on Artificial Intelligence and Data Analytics (CAIDA) · doi:10.1109/caida51941.2021.9425175 · Cited by 7
Elordi, U., Lunerti, C., Unzueta, L., Goenetxea, J., Aranjuelo, N., Bertelsen, Á., & Arganda‐Carreras, I. (2021) · Information · doi:10.3390/info12120532 · Cited by 7
Phase-Based Palmprint Identification With Convolutional Sparse Coding
Marval-Perez, L. R., Ito, K., & Aoki, T. (2022) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2022.3183568 · Cited by 7
Wibawa, A. D., Mohammad, B. S. Y., Fata, M. A. K., Nuraini, F. A., Prasetyo, A., & Pamungkas, Y. (2022) · International Conference on Electrical and Information Technology (IEIT) · doi:10.1109/ieit56384.2022.9967861 · Cited by 7
Cancellable biometrics based on the index-of-maximum hashing with random sparse binary encoding
Kim, J., Park, J., Low, C.-Y., & Teoh, A. B. J. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17711-w · Cited by 7
Toward An Efficient Fingerprint Classification
Awad, A. I., & Bab, K. (2011) · InTech eBooks · doi:10.5772/15963 · Cited by 7
Annotated crowd video face database
Dhamecha, T. I., Verma, P., Shah, M., Singh, R., & Mayank Vatsa, A. (2015) · International Conference on Biometrics · doi:10.1109/icb.2015.7139083 · Cited by 7
Biometric Authentication Using Kekre's Wavelet Transform
Raut, R. D., Kulkarni, S., & Gharat, N. N. (2014) · International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-] · doi:10.1109/icesc.2014.22 · Cited by 7
Is masking a relevant aspect lacking in MFCC? A speaker verification perspective
Montalvão, J., & Araujo, M. R. R. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.07.023 · Cited by 7
Wu, T., Wu, X., Liu, X., & Luo, X. (2012) · Procedia Engineering · doi:10.1016/j.proeng.2012.01.607 · Cited by 7
Kusanagi, D., Aoyama, S., Ito, K., & Aoki, T. (2014) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/btas.2014.6996236 · Cited by 7
Metric classifier using multilevel network of templates
Ganebnykh, S., Lange, M. M., & Stepanov, D. Y. (2012) · Pattern Recognition and Image Analysis · doi:10.1134/s1054661812020034 · Cited by 7
Complementary Cohort Strategy for Multimodal Face Pair Matching
Sun, Y., Nasrollahi, K., Sun, Z., & Tan, T. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2512561 · Cited by 7
Introduction—About the Need of an Evaluation Framework in Biometrics
Chollet, G., Dorizzi, B., & Petrovska‐Delacrétaz, D. (2009) · Springer eBooks · doi:10.1007/978-1-84800-292-0_1 · Cited by 7
Chaudhari, S. J., & Kagalkar, R. M. (2014) · Cited by 7
Gating of false identifications in electrocardiogram based biometric system
Abdelazez, M., Hozayn, M., Hanna, G. S. K., & Chan, A. D. C. (2017) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2017.7985899 · Cited by 7
Dimaunahan, E. D., Ballado, A. H., & Cruz, F. R. G. (2017) · International Conference on Algorithms, Computing and Systems (ICACS) · doi:10.1145/3127942.3127945 · Cited by 7
Face Spoof Detection by Motion Analysis on the Whole Video Frames
Utami, H. E., & Nugroho, H. (2017) · International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering · doi:10.1109/icici-bme.2017.8537751 · Cited by 7
Attribute Estimation Using Multi-CNNs from Hand Images
Lin, Y.-C., Suzuki, Y., Kawai, H., Ito, K., Chen, H.-T., & Aoki, T. (2019) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc47483.2019.9023260 · Cited by 7
Dahea, W., & Fadewar, H. S. (2020) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac49090.2020.9243331 · Cited by 7
Unconstrained Face Identification using Ensembles trained on Clustered Data
Vareto, R. H., & Schwartz, W. R. (2020) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb48548.2020.9304882 · Cited by 7
Finger Knuckle Print Identification using Gabor Features
Neware, S., Mehta, K., & Zadgaonkar, A. S. (2014) · International Journal of Computer Applications · doi:10.5120/17283-7641 · Cited by 7
Swarm Intelligence for Biometric Feature Optimization
Kumar, S., Datta, D., & Singh, S. K. (2015) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-4666-8291-7.ch005 · Cited by 7
Combining Matching Algorithms for Human Identification using Dental X-Ray Radiographs
Nomir, O., & Abdel-Mottaleb, M. S. (2007) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2007.4379179 · Cited by 7
Face recognition using Gabor Wavelet and Non-negative Matrix Factorization
Purnomo, F., Suhartono, D., Shodiq, M., Susanto, A., Raharja, S., & Kurniawan, R. W. (2015) · SAI Intelligent Systems Conference · doi:10.1109/intellisys.2015.7361230 · Cited by 7
Learning optimised representations for view-invariant gait recognition
Jia, N., Sánchez, V., & Li, C. (2017) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/btas.2017.8272769 · Cited by 7
Egocentric Video Biometrics.Preprint
Hoshen, Y., & Peleg, B. (2014) · arXiv (Cornell University) · Cited by 7
Biometric Matching and Fusion System for Fingerprints from Non-Distal PhalangesPreprint
Kayaoğlu, M., Topçu, B., & Uludağ, U. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1505.04028 · Cited by 7
A MULTIMODAL BIOMETRIC SYSTEM BASED ON RANK LEVEL FUSION
Monwar, M. M. (2012) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/24804 · Cited by 7
IMAGE BASED EYE GAZE TRACKING AND ITS APPLICATIONSPreprint
George, A. (2017) · arXiv (Cornell University) · doi:10.13140/rg.2.2.33992.88329 · Cited by 14
VIVAS: An Ergonomic Low-Cost High-Resolution Portable Vein Finder for Phlebotomy
Garg, D., Kumar, G., Singh, H., Rana, P. S., Bhat, S. A., Pattanaik, S., Mavuduru, R. S., & Jindal, N. (2024) · IEEE Access · doi:10.1109/access.2024.3422040 · Cited by 6
How Time Window Influences Biometrics Performance: An EEG-Based Fingerprint Connectivity Study
Didaci, L., Pani, S. M., Frongia, C., & Fraschini, M. (2024) · Signals · doi:10.3390/signals5030033 · Cited by 6
Fingerprint Feature Extraction Using CNN with Multiple Attention Mechanisms
Sasuga, N., Ito, K., & Aoki, T. (2022) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb54206.2022.10007957 · Cited by 6
A cancelable multi-biometric system based on the feature-level fusion of fingerprint and finger vein
Li, Y., Li, X., Zhao, G., Xin, C., Lan, S., & Hu, Z. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-20102-4 · Cited by 6
Sawhney, T., Sharma, A., Abrol, P., Lehana, P. K., Gupta, C., Yadav, V., Scherer, R., Kulakov, O., & AlZubi, A. A. (2025) · IEEE Access · doi:10.1109/access.2025.3567328 · Cited by 6
Abbas, N., & Chibani, Y. (2012) · International Journal of Computational Intelligence and Applications · doi:10.1142/s1469026812500186 · Cited by 6
Hand Vein Detection using Infrared Light for Web based Account
Sakthivel, G. (2015) · Cited by 6
Enhancing performance and user convenience of multi-biometric verification systems
Hossain, M. S., & Phoha, V. V. (2021) · Pattern Analysis and Applications · doi:10.1007/s10044-021-01008-5 · Cited by 6
Person Tracking by Fusing Posture Data From UAV Video and Wearable Sensors
Mukashev, A., Van, L.-D., Sharma, S., Tandia, M. F., & Tseng, Y. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3218373 · Cited by 7
Testing of Permeability of RFID Access Control System for the Needs of Security Management
Veľas, A., Boroš, M., Kuffa, R., & Lenko, F. (2024) · Applied Sciences · doi:10.3390/app14104227 · Cited by 6
Partial to Full Image Registration Based on Candidate Positions and Multiple Correspondences
Moreno‐García, C. F., Cortés, X., & Serratosa, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12568-8_90 · Cited by 6
An efficient palmprint recognition method based on block dominat orientation code
Chen, H. (2015) · Optik · doi:10.1016/j.ijleo.2015.07.031 · Cited by 6
Feature Extraction of Iris Based on Texture Analysis
He, Y., Ma, Z., & Zhang, Y. (2012) · Advances in intelligent and soft computing · doi:10.1007/978-3-642-29387-0_83 · Cited by 6
Iris recognition using discrete cosine transform and Kekre's fast codebook generation algorithm
Kekre, H. B., Sarode, T., Bharadi, V. A., Agrawal, A., Arora, R., & Nair, M. H. (2010) · International Conference & Workshop on Emerging Trends in Technology · doi:10.1145/1741906.1741913 · Cited by 6
Measuring and mitigating targeted biometric impersonation
Bustard, J. D., Carter, J. N., Nixon, M. S., & Hadid, A. (2014) · IET Biometrics · doi:10.1049/iet-bmt.2013.0054 · Cited by 6
Securing palmprint authentication systems using spoof detection approach
Kanhangad, V., & Kumar, A. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2051724 · Cited by 6
Multimodal Biometrics Using Cancelable Feature Fusion
Paul, P. P., & Gavrilova, M. L. (2014) · International Conference on Cyberworlds (CW) · doi:10.1109/cw.2014.45 · Cited by 6
Multimodal based fuzzy vault using iris retina and fingervein
Geetika, & Kaur, M. (2013) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt.2013.6726786 · Cited by 6
Why template self-update should work in biometric authentication systems?
Marcialis, G. L., Didaci, L., Pisano, A., Granger, É., & Roli, F. (2012) · International Conference on Information Science, Signal Processing and their Applications (ISSPA) · doi:10.1109/isspa.2012.6310451 · Cited by 6
Real-time feedback for usable fingerprint systems
Guan, H., Theofanos, M. F., Choong, Y., & Stanton, B. C. (2011) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117495 · Cited by 6
Impact of time variability in off-line writer identification and verification
Alonso‐Fernandez, F., Fiérrez, J., Gilperez, A., & Ortega-García, J. (2009) · International symposium on image and signal processing and analysis/ISPA ... · doi:10.1109/ispa.2009.5297686 · Cited by 6
Eye Movement Biometrics on Wearable Devices
Abdulin, E. R., Rigas, I., & Komogortsev, O. V. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2892306 · Cited by 6
Offline signature identification using the histogram of symbolic representation
Djoudjai, M. A., Chibani, Y., & Abbas, N. (2017) · International Conference on Electrical Engineering - Boumerdes (ICEE-B) · doi:10.1109/icee-b.2017.8192092 · Cited by 6
Multispectral Palmprint Recognition based on Fusion of Local Features
Amraoui, A., Fakhri, Y., & Kerroum, M. A. (2018) · doi:10.1109/icmcs.2018.8525989 · Cited by 6
Mind the Gap: A Practical Framework for Classifiers in a Forensic Context
Zeinstra, C., Meuwly, D., Veldhuis, R. N. J., & Spreeuwers, L. (2018) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2018.8698583 · Cited by 6
What Do Developers Discuss about Biometric APIs?
Jin, Z., Chee, K.-Y., & Xia, X. (2019) · IEEE International Conference on Software Maintenance (ICSM) · doi:10.1109/icsme.2019.00053 · Cited by 6
Design and Testing of a Corpus for Forensic Speaker Recognition Using MFCC, GMM and MLE
Herrera-Camacho, A., Zúñiga-Sainos, A., Sierra, G., Trangol, J., Montoya, M. A. M., & Jarquín-Casas, A. (2019) · International Conference on Video, Signal and Image Processing (VSIP) · doi:10.1145/3369318.3369330 · Cited by 6
Metadata
- Authors
- Jain, A. K., Ross, A. A., & Flynn, P. J.
- Affiliations
- Michigan State University (US)
- University of Notre Dame (US)
- West Virginia University (US)
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 2008
- OpenAlex
- W1523682477
- Cited by
- 1,406
- References
- 2
- Citations by year
- 2026: 25 · 2025: 39 · 2024: 54 · 2023: 46 · 2022: 50 · 2021: 65 · 2020: 68 · 2019: 78 · 2018: 66 · 2017: 82 · 2016: 97 · 2015: 126 · 2014: 113 · 2013: 107 · 2012: 114
- FWCI
- 24.23
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- biometrics, biometric identification, biometric authentication, fingerprint recognition, face recognition, iris recognition, voice recognition, pattern recognition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review