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 701–800 of 1,001
ECG Based Biometric Identification System using EEMD, VMD and Renyi Entropy
Hadiyoso, S., Wijayanto, I., & Dewi, E. M. (2020) · doi:10.1109/icoict49345.2020.9166202 · Cited by 8
Evaluation of a Vein Biometric Recognition System on an Ordinary Smartphone
López-González, P., Baturone, I., Hinojosa, M., & Arjona, R. (2022) · Applied Sciences · doi:10.3390/app12073522 · Cited by 6
Hiremath, M., & Hiremath, P. S. (2016) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001417560067 · Cited by 6
Avinadav, T., & Sarne, D. (2012) · Computers & Operations Research · doi:10.1016/j.cor.2011.12.018 · Cited by 6
Multimodal biometrics system based on face profile and ear
Youssef, I. S., Abaza, A. A., Rasmy, M., & Badawi, A. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2050159 · Cited by 6
An online learning algorithm for biometric scores fusion
Kim, Y., Toh, K., & Teoh, A. B. J. (2010) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2010.5634510 · Cited by 6
Smart, P. R. (2010) · ePrints Soton (University of Southampton) · Cited by 6
Template Level Concatenation of Iris and Fingerprint in Multimodal Biometric Identification Systems
Sapkal, S. (2012) · Cited by 6
Kumar, S., & Singh, S. K. (2016) · Studies in fuzziness and soft computing · doi:10.1007/978-3-319-30340-6_30 · Cited by 6
Recognition Of Psoriasis Features Via Daubechies D8 Wavelet Technique
Hashim, H., Ramli, S., Wahid, N., Sulaiman, M. S., & Hassan, N. (2013) · International Journal on Smart Sensing and Intelligent Systems · doi:10.21307/ijssis-2017-562 · Cited by 6
Finger knuckle print recognition system using compound local binary pattern
Amraoui, A., Fakhri, Y., & Kerroum, M. A. (2017) · International Conference on Electrical and Information Technologies · doi:10.1109/eitech.2017.8255216 · Cited by 6
Neumann, C., & Saunders, C. P. (2015) · Journal of Forensic Sciences · doi:10.1111/1556-4029.12634 · Cited by 6
Identifying Soft Biometric Features from a Combination of Keystroke and Mouse Dynamics
Earl, S. R., Campbell, J., & Buckley, O. E. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-79997-7_23 · Cited by 5
Innovation of Human Body Positioning System and Basketball Training System
Yue, Q., & Wei, C. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/2369925 · Cited by 5
Open-Source Finger Vein Acquisition Device for Biometric Applications
Eglītis, T., Maiorana, E., & Campisi, P. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3324681 · Cited by 5
Review of Methods for Automatic Speaker Verification
O’Shaughnessy, D. D. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2023.3346293 · Cited by 7
Influence of Standalone and Ensemble Classifiers in Face Spoofing Detection using LBP and CNN Models
Prasad, M., Jain, S., Bhanodia, P. K., & Priya, A. (2024) · European Journal of Electrical Engineering and Computer Science · doi:10.24018/ejece.2024.8.2.604 · Cited by 5
Evaluation Techniques to Detect Face Morphing Vulnerabilities for Differential Images
Chalini, G. R., & Kanimozhi, K. V. (2024) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec61587.2024.10722587 · Cited by 5
Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement
Melzi, P., Shahreza, H. O., Rathgeb, C., Tolosana, R., Vera-Rodríguez, R., Fiérrez, J., Marcel, S., & Busch, C. (2025) · IEEE Access · doi:10.1109/access.2025.3590989 · Cited by 5
Handwriting dynamics as a means of authentication
Ложников, П. С., & Черникова, О. П. (2011) · International Conference for Internet Technology and Secured Transactions · Cited by 5
Rathgeb, C., Uhl, A., & Wild, P. (2012) · Advances in information security · doi:10.1007/978-1-4614-5571-4_12 · Cited by 5
Biometric Recognition: A new Approach for Library Patron Authentication
Ramesh, M. R. (2013) · International Journal of Library Science · doi:10.5923/j.library.20120105.01 · Cited by 5
Performance analysis of grid & texture based feature vector for dynamic signature recognition
Bharadi, V. A., Sedamkar, R. R., & Jangid, P. S. (2015) · doi:10.1109/pervasive.2015.7087092 · Cited by 5
Comparative analysis of 3D face recognition using 2D-PCA and 2D-LDA approaches
Marvadi, D., Paunwala, C. N., Joshi, M. M., & Vora, A. (2015) · Nirma University International Conference on Engineering · doi:10.1109/nuicone.2015.7449603 · Cited by 5
Evaluation of in-vehicle technologies to prevent unlicensed driving in Queensland and Victoria
Demmel, S., Freeman, J., Larue, G. S., & Rakotonirainy, A. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.02.023 · Cited by 5
From Speaker Recognition to Forensic Speaker Recognition
Drygajlo, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13386-7_8 · Cited by 5
Applying information technologies to pump up operating room efficiency.
Lange-Kuitse, D., & Meadows, G. (2002) · PubMed · doi:10.24203/ajcis.v1i3.360.g285 · Cited by 5
Speaker Spotting: Automatic Telephony Surveillance for Homeland Security
Ramasubramanian, V. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0263-3_15 · Cited by 5
Future of Cloud-Based Services for Multi-factor Authentication: Results of a Delphi Study
Senk, C. (2013) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-03874-2_14 · Cited by 5
TARC: A novel score fusion scheme for multimodal biometric systems
Tiwari, K., Nigam, A., & Gupta, P. (2014) · IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) · doi:10.1109/cibim.2014.7015443 · Cited by 5
Standardised system for automatic remote evaluation of biometric algorithms
Sánchez-Reillo, R., Alonso-Moreno, R., Fernandez‐Saavedra, B., & Kwon, Y. (2012) · Computer Standards & Interfaces · doi:10.1016/j.csi.2012.01.006 · Cited by 5
Biometric recognition system using low bandwidth ECG signals
Matos, A. C., Lourenço, A., & Nascimento, J. M. P. (2013) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2013.6720731 · Cited by 5
Finger knuckle print recognition based on multi-instance fusion of local feature sets
Amraoui, M., Abouchabaka, J., & Aroussi, M. E. (2014) · doi:10.1109/icmcs.2014.6911188 · Cited by 5
Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition
Casanova, J. G., Ávila, C. S., Sierra, A. D. S., del Pozo, G. B., & Vera, V. J. (2010) · International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) · doi:10.1109/iihmsp.2010.94 · Cited by 5
Analysis of the Perception of Students about Biometric Identification
Guillén‐Gámez, F. D., García‐Magariño, I., & Martínez, S. J. R. (2015) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/ijwltt.2015070101 · Cited by 5
Biometric person authentication method using features extracted from pen holding style
Hashimoto, Y., Muramatsu, D., & Ogata, H. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.854835 · Cited by 5
Improving Face Segmentation in Thermograms Using Image Signatures
Filipe, S., & Alexandre, L. A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-16687-7_54 · Cited by 5
A Study on Handwritten Signature
Mahanta, L. B., & Deka, A. (2013) · International Journal of Computer Applications · doi:10.5120/13717-1489 · Cited by 5
Reconstruction of smartphone images for low resolution iris recognition
Alonso‐Fernandez, F., Farrugia, R. A., & Bigün, J. (2015) · IEEE International Workshop on Information Forensics and Security · doi:10.1109/wifs.2015.7368600 · Cited by 5
Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature
Zalasiński, M., Cpałka, K., & Rutkowski, L. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-67946-4_17 · Cited by 5
A Study on Human Recognition Using Auricle and Side View Face Images
El-Naggar, S., Abaza, A. A., & Bourlai, T. (2017) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-319-68533-5_4 · Cited by 6
Patent overview: Device for fingerprint identity guarantee
Lalović, K. (2018) · Vojnotehnicki glasnik · doi:10.5937/vojtehg66-15868 · Cited by 5
Hand-Based Biometric Recognition Technique – Survey
Příhodová, K., & Hub, M. (2020) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj050683 · Cited by 8
Multitrait Selfie: Low-Cost Multimodal Smartphone User Authentication
Akhtar, Z., & Buriro, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-48378-4_11 · Cited by 5
Combined Regularized Discriminant Analysis and Swarm Intelligence Techniques for Gait Recognition
Krzeszowski, T., & Wiktorowicz, K. (2020) · Sensors · doi:10.3390/s20236794 · Cited by 5
2D vs 3D Online Writer Identification: A Comparative Study
Parziale, A., Carmona-Duarte, C., Ferrer, M. A., & Marcelli, A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86334-0_20 · Cited by 5
A Simple and Accurate CNN for Iris Recognition
Kawakami, S., Kawai, H., Ito, K., Aoki, T., Yasumura, Y., Fujio, M., Kaga, Y., & Takahashi, K. (2022) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipaasc55919.2022.9980056 · Cited by 5
Biometrics and Artificial Intelligence: Attacks and Challenges
Hernández–Álvarez, L., González‐Manzano, L., Fuentes, J. M. D., & Encinas, L. H. (2022) · Springer eBooks · doi:10.1007/978-3-031-10706-1_10 · Cited by 5
Bozkurt, M. H., & Karagöl, S. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14746-x · Cited by 5
Improvised Classification Model for Cloud Based Authentication Using Keystroke Dynamics
Kumar, T. S., Suresh, A., & Karumathil, A. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-55038-6_45 · Cited by 5
Speaker identification using pairwise log-likelihood ratio measures
Chao, Y.-H. (2012) · International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) · doi:10.1109/fskd.2012.6234345 · Cited by 5
Guerra-Casanova, J., Ávila, C. S., Sierra, A. D. S., & Bailador, G. (2011) · World Congress on Nature and Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2011.6089452 · Cited by 5
A new pre-authentication protocol in Kerberos 5: biometric authentication
Le, H. Q., Truong, H. P., Van, H. T., & Lê, T. H. (2015) · RIVF International Conference on Computing and Communication Technologies (RIVF) · doi:10.1109/rivf.2015.7049892 · Cited by 5
Physiological Signals: The Next Generation Authentication and Identification Methods!?
van den Broek, E. L., & Spitters, M. (2013) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2013.35 · Cited by 5
Identification of People by Iris Recognition
Chandel, G. S., Bhargava, A., & Satya, S. (2014) · Cited by 5
FACE RECOGNITION AS A BIOMETRICS APPROACH USING THERMAL IMAGES
Jayanthi, T. (2014) · Cited by 5
Dinh, T. Q., Steinfeld, R., & Bhattacharjee, N. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-72359-4_17 · Cited by 5
Important Considerations When Selecting a Risk Assessment Tool
Glaser, D. N. (2018) · Journal of Child Sexual Abuse · doi:10.1080/10538712.2018.1474514 · Cited by 6
Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection
Tuveri, P., Ghiani, L., Zurutuza, M., Mura, V., & Marcialis, G. L. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-92627-8_4 · Cited by 5
3D Palmprint recognition using Tan and Triggs normalization technique and GIST descriptors
Chaa, M., & Akhtar, Z. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09689-6 · Cited by 5
The Plateau: Imitation Attack Resistance of Gait Biometrics
Mjaaland, B. B. (2010) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-17303-5_8 · Cited by 5
da Costa, D. M. M., Passos, H. D. S., Peres, S. M., & Lima, C. A. M. (2015) · Journal of the Association for Information Systems · Cited by 5
Abductive Neural Network Modeling for Hand Recognition Using Geometric Features
El-Alfy, E.-S. M., Abdel-Aal, R. E., & Baig, Z. A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34478-7_72 · Cited by 5
Linguistics and face recognition
Wechsler, H. (2009) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2009.01.001 · Cited by 5
Optimization of a Biometric System Based on Acoustic Images
Izquierdo, A., del Val, L., Villacorta, J. J., & Mateos, M. R. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/780835 · Cited by 5
Possibility of spoof attack against robustness of multibiometric authentication systems
Hariri, M., & Shokouhi, S. B. (2011) · Optical Engineering · doi:10.1117/1.3599874 · Cited by 5
Abductive Learning Ensembles for Hand Shape Identification
El-Alfy, E.-S. M., & Abdel-Aal, R. E. (2013) · Cognitive Computation · doi:10.1007/s12559-013-9241-0 · Cited by 5
Biometrics on visual preferences: A “pump and distill” regression approach
Segalin, C., Perina, A., & Cristani, M. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7026009 · Cited by 5
Haloui, L., Dad, N., En-Nahnahi, N., Alaoui, S. O. E., & Oumsis, M. (2014) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2014.7073209 · Cited by 5
A Novel Three Stage Process for Palmprint Verification
Ramachandra, R., Rao, A. T., & Hemantha Kumar, G. (2009) · International Conference on Advances in Computing, Control, and Telecommunication Technologies · doi:10.1109/act.2009.32 · Cited by 5
Advances, Applications, and Challenges
Rathgeb, C., Uhl, A., & Wild, P. (2012) · Advances in information security · doi:10.1007/978-1-4614-5571-4_15 · Cited by 5
Evison, M. (2013) · Springer eBooks · doi:10.1007/978-1-4614-5690-2_170 · Cited by 5
Stanciu, A. (2023) · medRxiv · doi:10.1101/2023.04.21.23288932 · Cited by 5
Applications of Artificial Intelligence and Machine Learning‐Enabled Businesses
Koley, S., Sengupta, S., Biswas, B., Datta, K., Jana, M., & Mitra, A. (2024) · doi:10.1002/9781394234028.ch13 · Cited by 5
Risk analysis in biometric-based Border Inspection System
Sacanamboy, M. (2009) · doi:10.33915/etd.4524 · Cited by 5
Selection of optimal narrowband multispectral images for face recognition
Bouchech, H. J. (2015) · doi:10.70675/2460ab6azbf59z45bbz9dc0za35025b6ef79 · Cited by 5
A Novel and Robust Approach for Iris Segmentation
Muhammad, H., & Moradi, P. (2011) · International Journal of Computer Applications · Cited by 4
FINGER KNUCKLE PRINT BASED VERIFICATION USING MINIMUM AVERAGE CORRELATION ENERGY FILTER
Verma, G. K. (2014) · International Journal of Electronic Commerce Studies · doi:10.7903/ijecs.1089 · Cited by 4
Automatic Identity Recognition Using Speech Biometric
Abushariah, M. A. M., & Alqudah, A. A. M. (2016) · European Scientific Journal ESJ · doi:10.19044/esj.2016.v12n12p43 · Cited by 4
Biometric System Vulnerabilities: A Typology of Metadata
Sobabe, A.-A., Djara, T., & Vianou, A. C. (2020) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj050125 · Cited by 4
CRIMINAL IDENTIFICATION SYSTEM USING FACIAL RECOGNITION
(2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets37821 · Cited by 4
Human Micro-Expressions in Multimodal Social Behavioral Biometrics
Wahid, Z., Bari, A. S. M. H., & Gavrilova, M. L. (2023) · Sensors · doi:10.3390/s23198197 · Cited by 4
Paul, J., Dutta, K., Sarkar, A., Roy, K., & Das, N. (2024) · ETRI Journal · doi:10.4218/etrij.2023-0188 · Cited by 4
Fusion of Hand Biometrics for Border Control Involving Fingerprint and Finger Vein
Kyeremeh, G. K., Abdul‐Al, M., Qahwaji, R., Ali, N. T., & Abd‐Alhameed, R. A. (2025) · IEEE Access · doi:10.1109/access.2025.3538591 · Cited by 4
Vartak, P. P., & Bharadi, V. A. (2015) · International Conference on Computing Communication Control and automation · doi:10.1109/iccubea.2015.143 · Cited by 4
Biometric score fusion in identification model using the Choquet integral
Fakhar, K., Aroussi, M. E., Saidi, M. N., & Aboutajdine, D. (2015) · International Conference on Electrical and Information Technologies · doi:10.1109/eitech.2015.7162955 · Cited by 4
Krakovsky, M. (2010) · Communications of the ACM · doi:10.1145/1866739.1866747 · Cited by 4
Postmatch pruning of SIFT pairs for iris recognition
Bakshi, S., Mehrotra, H., & Majhi, B. (2013) · International Journal of Biometrics · doi:10.1504/ijbm.2013.052965 · Cited by 4
Fingerprint Recognition Based on Multi-Resolution Histogram of Gradient Descriptors
Syarif, M. A., Ong, T. S., & Connie, T. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-981-4585-42-2_22 · Cited by 4
A Novel Evolutionary Face Recognition Algorithm Using Particle Swarm Optimization
Villegas, O. O. V., Quintero, M. A., Sánchez, V. G. C., & Domínguez, H. D. J. O. (2009) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2009.17 · Cited by 4
A Personal Identification Framework based on Facial Image and Fingerprint Fusion Biometric
ElAlami, M. E., Amin, A. E., & El-Alfi, A. E. (2012) · International Journal of Computer Applications · doi:10.5120/8058-1411 · Cited by 4
Iris Segmentation Methodologies
Rathgeb, C., Uhl, A., & Wild, P. (2012) · Advances in information security · doi:10.1007/978-1-4614-5571-4_5 · Cited by 4
The Unique Identification Number Project: Challenges and Recommendations
Rengamani, H., Kumaraguru, P., Chakraborty, R., & Rao, H. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12595-9_19 · Cited by 4
State-of-the-Art in Iris Biometrics
Rathgeb, C., Uhl, A., & Wild, P. (2012) · Advances in information security · doi:10.1007/978-1-4614-5571-4_3 · Cited by 4
Rate-energy-accuracy optimization of convolutional architectures for face recognition
Bondi, L., Baroffio, L., Cesana, M., Tagliasacchi, M., Chiachia, G., & Rocha, A. D. R. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2015.12.015 · Cited by 4
Secure fingerprint fuzzy vault using hadamard transformation to defy correlation attack
Kaur, M., & Sofat, S. (2016) · International Symposium on Embedded Computing and System Design (ISED) · doi:10.1109/ised.2016.7977067 · Cited by 4
Tuveri, P., Zurutuza, M., & Marcialis, G. L. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68560-1_66 · Cited by 4
Ali, M. M. H., Gaikwad, A. T., & Yannawar, P. L. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-8639-7_21 · Cited by 4
Çevik, T., & Sahin, F. (2020) · The Visual Computer · doi:10.1007/s00371-020-01858-w · Cited by 4
Social Behavioral Biometrics in Smart Societies
Tumpa, S. N., Kumar, K. N. P., Sultana, M., Hsu, G.-S. J., Yadid-Pecht, O., Yanushkevich, S. N., & Gavrilova, M. L. (2020) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-4444-0.ch001 · Cited by 4
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