Handbook of Biometrics
Integrity signals
Registry
Cites
Statistics
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?
Expression swap and attribute manipulation may pose risks to applicable scenarios where people can easily verify the identity of the subject but not what she/he says, such as political elections.
“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
Identity swap poses risks to a wide range of safety-critical scenarios because it alters the hard biometrics (identity information) of a subject.
“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
Cites
Jain, A. K., Ross, A. A., & Nandakumar, K. (2011) · Springer eBooks · doi:10.1007/978-0-387-77326-1 · Cited by 992 · see citing works
Self-citationZhang, D. D., & Kanhangad, V. (2011) · Springer eBooks · doi:10.1007/978-1-4419-5906-5_878 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A survey on biometric cryptosystems and cancelable biometrics
Rathgeb, C., & Uhl, A. (2011) · EURASIP Journal on Information Security · doi:10.1186/1687-417x-2011-3 · Cited by 643 · see citing works
Template Matching Techniques in Computer Vision
Brunelli, R. (2009) · Wiley eBooks · doi:10.1002/9780470744055 · Cited by 877 · see citing works
Javier Galbally, A., Marcel, S., & Fiérrez, J. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2292332 · Cited by 611 · see citing works
Gait recognition using wifi signals
Wang, W., Liu, A. X., & Shahzad, M. (2016) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2971648.2971670 · Cited by 582 · see citing works
Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model
Tan, X., Li, Y., Liu, J., & Jiang, L. H. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15567-3_37 · Cited by 531 · see citing works
What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics
Dantcheva, A., Elia, P., & Ross, A. A. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2480381 · Cited by 431 · see citing works
Self-citationOnline finger-knuckle-print verification for personal authentication
Lei Zhang, A., Lei Zhang, A., Zhang, D. D., & Zhu, H. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.01.020 · Cited by 346 · see citing works
1Deep Representations for Iris, Face, and Fingerprint Spoofing DetectionPreprint
Menottiy, D., Chiachia, G., Pinto, A. D. S., Member, S., Schwartz, W. R., Pedrini, H., Falcão, R. X., & Rocha, A. D. R. (2016) · Cited by 352 · see citing works
Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
Jung, Y.-H., Hong, S. K., Wang, H. S., Han, J. H., Pham, T. X., Park, H., Kim, J., Kang, S., Yoo, C. D., & Lee, K. J. (2019) · Advanced Materials · doi:10.1002/adma.201904020 · Cited by 339 · see citing works
Counter-measures to photo attacks in face recognition: A public database and a baseline
Anjos, A., & Marcel, S. (2011) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117503 · Cited by 322 · see citing works
LBP − TOP Based Countermeasure against Face Spoofing Attacks
Pereira, T. D. F., Anjos, A., Martino, J. M. D., & Marcel, S. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37410-4_11 · Cited by 319 · see citing works
Personal Authentication Using Hand Vein Triangulation and Knuckle Shape
Kumar, A., & Prathyusha, K. V. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2023153 · Cited by 307 · see citing works
Zhang, L., Li, L., Yang, A., Shen, Y., & Yang, M. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.04.016 · Cited by 294 · see citing works
Can face anti-spoofing countermeasures work in a real world scenario?
Pereira, T. D. F., Anjos, A., Martino, J. M. D., & Marcel, S. (2013) · International Conference on Biometrics · doi:10.1109/icb.2013.6612981 · Cited by 272 · see citing works
Face liveness detection using dynamic texture
Pereira, T. D. F., Komulainen, J., Anjos, A., Martino, J. M. D., Hadid, A., Pietikäinen, M., & Marcel, S. (2014) · EURASIP Journal on Image and Video Processing · doi:10.1186/1687-5281-2014-2 · Cited by 263 · see citing works
Security and Accuracy of Fingerprint-Based Biometrics: A Review
Yang, W., Wang, S., Hu, J., Zheng, G., & Valli, C. (2019) · Symmetry · doi:10.3390/sym11020141 · Cited by 259 · see citing works
A Comparative Study of Palmprint Recognition Algorithms
Zhang, D. D., Zuo, W., & Feng, Y. (2012) · ACM Computing Surveys · doi:10.1145/2071389.2071391 · Cited by 247 · see citing works
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
Ortega-García, J., Fiérrez, J., Alonso‐Fernandez, F., Javier Galbally, A., Freire, M. R., González-Rodríguez, J., Mateo, C. G., Alba‐Castro, J. L., González-Agulla, E., Otero-Muras, E., et al. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.76 · Cited by 241 · see citing works
Abaza, A. A., Ross, A. A., Hebert, C., Harrison, M. A. F., & Nixon, M. S. (2013) · ACM Computing Surveys · doi:10.1145/2431211.2431221 · Cited by 233 · see citing works
Self-citationPrivacy in mobile technology for personal healthcare
Avancha, S., Baxi, A., & Kotz, D. (2012) · ACM Computing Surveys · doi:10.1145/2379776.2379779 · Cited by 229 · see citing works
Ensemble of local and global information for finger–knuckle-print recognition
Zhang, L., Lei Zhang, A., Zhang, D. D., & Zhu, H. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.06.007 · Cited by 205 · see citing works
Soft Biometric Traits for Continuous User Authentication
Niinuma, K., Park, U., & Jain, A. K. (2010) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2010.2075927 · Cited by 229 · see citing works
Self-citationGREYC keystroke: A benchmark for keystroke dynamics biometric systems
Giot, R., El-Abed, M., & Rosenberger, C. (2009) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2009.5339051 · Cited by 201 · see citing works
Using machine learning to detect events in eye-tracking data
Zemblys, R., Niehorster, D. C., Komogortsev, O. V., & Holmqvist, K. (2017) · Behavior Research Methods · doi:10.3758/s13428-017-0860-3 · Cited by 200 · see citing works
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Juefei-Xu, F., Wang, R., Huang, Y., Guo, Q., Ma, L., & Liu, Y. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01606-8 · Cited by 191 · see citing works
11K Hands: Gender recognition and biometric identification using a large dataset of hand images
Afifi, M. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7424-8 · Cited by 194 · see citing works
Wang, C., Muhammad, J., Wang, Y., He, Z., & Sun, Z. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2020.2980791 · Cited by 187 · see citing works
Cancelable Biometrics: a comprehensive survey
Manisha, M., & Kumar, N. (2019) · Artificial Intelligence Review · doi:10.1007/s10462-019-09767-8 · Cited by 184 · see citing works
Al‐Waisy, A. S., Al-Fahdawi, S., Mohammed, M. A., Abdulkareem, K. H., Mostafa, S. A., Maashi, M. S., Arif, M., & García-Zapirain, B. (2020) · Soft Computing · doi:10.1007/s00500-020-05424-3 · Cited by 178 · see citing works
RetractedBiometric Recognition: An Overview
Jain, A. K., & Kumar, A. (2012) · The International Library of Ethics, Law and Technology · doi:10.1007/978-94-007-3892-8_3 · Cited by 176 · see citing works
Self-citationA survey of biometric technology based on hand shape
Duta, N. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.02.007 · Cited by 165 · see citing works
Biometric identification via eye movement scanpaths in reading
Holland, C. D., & Komogortsev, O. V. (2011) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117536 · Cited by 164 · see citing works
Visual Cryptography for Biometric Privacy
Ross, A. A., & Othman, A. (2010) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2010.2097252 · Cited by 163 · see citing works
Self-citationA hybrid biometric cryptosystem for securing fingerprint minutiae templates
Nagar, A., Nandakumar, K., & Jain, A. K. (2009) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.07.003 · Cited by 155 · see citing works
Self-citationMultifeature-Based High-Resolution Palmprint Recognition
Dai, J., & Zhou, J. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.164 · Cited by 154 · see citing works
Theoretical and Empirical Considerations of Guests’ Perceptions of Biometric Systems in Hotels
Morosan, C. V. (2010) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348010380601 · Cited by 150 · see citing works
New trends on digitisation of complex engineering drawings
Moreno-García, C. F., Elyan, E., & Jayne, C. (2018) · Neural computing & applications (Print) · doi:10.1007/s00521-018-3583-1 · Cited by 134 · see citing works
Motion‐based counter‐measures to photo attacks in face recognition
Anjos, A., Chakka, M. M., & Marcel, S. (2013) · IET Biometrics · doi:10.1049/iet-bmt.2012.0071 · Cited by 149 · see citing works
On the need for different security methods on mobile phones
Ben‐Asher, N., Kirschnick, N., Sieger, H., Meyer, J., Ben-Oved, A., & Möller, S. (2011) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2037373.2037442 · Cited by 133 · see citing works
Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks
Pinto, A. D. S., Schwartz, W. R., Pedrini, H., & Rocha, A. D. R. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2395139 · Cited by 131 · see citing works
ChatGPT: ethical concerns and challenges in academics and research
Guleria, A., Krishan, K., Sharma, V., & Kanchan, T. (2023) · The Journal of Infection in Developing Countries · doi:10.3855/jidc.18738 · Cited by 154 · see citing works
A novel hierarchical approach for multispectral palmprint recognition
Hong, D., Liu, W., Su, J. D., Pan, Z., & Wang, G. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.09.013 · Cited by 125 · see citing works
Gait-Based Person Recognition Using Arbitrary View Transformation Model
Muramatsu, D., Shiraishi, A., Makihara, Y., Uddin, M. Z., & Yagi, Y. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2371335 · Cited by 121 · see citing works
Super-resolution for biometrics: A comprehensive survey
Nguyen, K., Fookes, C., Sridharan, S., Massimo Tistarelli, A., & Nixon, M. S. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.01.002 · Cited by 121 · see citing works
Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation
Zhang, L., Lei Zhang, A., & Zhang, D. D. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03767-2_17 · Cited by 120 · see citing works
Phase congruency induced local features for finger-knuckle-print recognition
Zhang, L., Lei Zhang, A., Zhang, D. D., & Guo, Z. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.01.017 · Cited by 120 · see citing works
Adaptive fingerprint pore modeling and extraction
Zhao, Q., Zhang, D. D., Lei Zhang, A., & Luo, N. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.02.016 · Cited by 118 · see citing works
Javier Galbally, A., Díaz, M., Ferrer, M. A., Gomez‐Barrero, M., Morales, A., & Fiérrez, J. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.03.019 · Cited by 116 · see citing works
RETRACTED ARTICLE: Score level based latent fingerprint enhancement and matching using SIFT feature
Manickam, A., Ezhilmaran, D., Manogaran, G., Kumar, P. M., Varatharajan, R., Hsu, C., & Krishnamoorthi, R. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5633-1 · Cited by 115 · see citing works
RetractedOnline Student Authentication and Proctoring System Based on Multimodal Biometrics Technology
Labayen, M., Vea, R., Flórez, J., Aginako, N., & Sierra, B. (2021) · IEEE Access · doi:10.1109/access.2021.3079375 · Cited by 113 · see citing works
Hurley, D. J., Arbab‐Zavar, B., & Nixon, M. S. (2007) · Springer eBooks · doi:10.1007/978-0-387-71041-9_7 · Cited by 111 · see citing works
Viejo, C. G., Fuentes, S., Howell, K. S., Torrico, D. D., & Dunshea, F. R. (2018) · Physiology & Behavior · doi:10.1016/j.physbeh.2018.02.051 · Cited by 109 · see citing works
Keystroke dynamics authentication for mobile phones
Maiorana, E., Campisi, P., González-Carballo, N., & Neri, A. (2011) · ACM Symposium on Applied Computing · doi:10.1145/1982185.1982190 · Cited by 107 · see citing works
View Transformation Model Incorporating Quality Measures for Cross-View Gait Recognition
Muramatsu, D., Makihara, Y., & Yagi, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2452577 · Cited by 106 · see citing works
A Survey on Healthcare Data: A Security Perspective
Singh, A. K., Anand, A., Lv, Z., Ko, H., & Mohan, A. (2021) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3422816 · Cited by 104 · see citing works
Face Recognition of Cattle: Can it be Done?
Kumar, S., Tiwari, S., & Singh, S. K. (2016) · Proceedings of the National Academy of Sciences India Section A Physical Sciences · doi:10.1007/s40010-016-0264-2 · Cited by 100 · see citing works
On the vulnerability of face verification systems to hill-climbing attacks
Javier Galbally, A., McCool, C., Fiérrez, J., Marcel, S., & Ortega-García, J. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.08.022 · Cited by 100 · see citing works
User authentication using keystroke dynamics for cellular phones
Campisi, P., Maiorana, E., Bosco, M. L., & Neri, A. (2009) · IET Signal Processing · doi:10.1049/iet-spr.2008.0171 · Cited by 99 · see citing works
Protection of Privacy in Biometric Data
Natgunanathan, I., Mehmood, A., Xiang, Y., Beliakov, G., & Yearwood, J. L. (2016) · IEEE Access · doi:10.1109/access.2016.2535120 · Cited by 99 · see citing works
Viejo, C. G., Torrico, D. D., Dunshea, F. R., & Fuentes, S. (2019) · Beverages · doi:10.3390/beverages5040062 · Cited by 99 · see citing works
An overview of touchless 2D fingerprint recognition
Priesnitz, J., Rathgeb, C., Buchmann, N., Busch, C., & Margraf, M. (2021) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-021-00548-4 · Cited by 99 · see citing works
A survey of the effects of aging on biometric identity verification
Lanitis, A. (2009) · International Journal of Biometrics · doi:10.1504/ijbm.2010.030415 · Cited by 99 · see citing works
Minutiae Extraction from Fingerprint Images - a ReviewPreprint
Bansal, R., Sehgal, P., & Bedi, P. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1201.1422 · Cited by 99 · see citing works
A hybrid latent space data fusion method for multimodal emotion recognition
Nemati, S., Rohani, R., Basiri, M. E., Abdar, M., Yen, N. Y., & Makarenkov, V. (2019) · IEEE Access · doi:10.1109/access.2019.2955637 · Cited by 98 · see citing works
Analysis of pattern recognition techniques for in-air signature biometrics
Bailador, G., Ávila, C. S., Guerra-Casanova, J., & Sierra, A. D. S. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.04.010 · Cited by 97 · see citing works
DeepPrivacy2: Towards Realistic Full-Body Anonymization
Hukkelås, H., & Lindseth, F. (2023) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv56688.2023.00138 · Cited by 95 · see citing works
On-line signature verification using vertical signature partitioning
Cpałka, K., & Zalasiński, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.12.047 · Cited by 94 · see citing works
A score level fusion method for eye movement biometrics
George, A., & Routray, A. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.11.020 · Cited by 93 · see citing works
Palm vein recognition based on multi-sampling and feature-level fusion
Yan, X., Kang, W., Deng, F., & Wu, Q. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.10.019 · Cited by 92 · see citing works
Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
Ahmed, W., Rasool, A., Javed, A. R., Kumar, N., Gadekallu, T. R., Jalil, Z., & Kryvinska, N. (2021) · IEEE Access · doi:10.1109/access.2021.3105450 · Cited by 92 · see citing works
Complex eye movement pattern biometrics: Analyzing fixations and saccades
Holland, C. D., & Komogortsev, O. V. (2013) · International Conference on Biometrics · doi:10.1109/icb.2013.6612953 · Cited by 90 · see citing works
Secure Iris Recognition Based on Local Intensity Variations
Rathgeb, C., & Uhl, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13775-4_27 · Cited by 89 · see citing works
Robust multimodal biometric system based on optimal score level fusion model
Walia, G. S., Singh, T., Singh, K., & Verma, N. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.08.036 · Cited by 88 · see citing works
Plamondon, R., O’Reilly, C., Javier Galbally, A., Almaksour, A., & Anquetil, É. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.06.004 · Cited by 86 · see citing works
Video-Based Face Spoofing Detection through Visual Rhythm Analysis
Pinto, A. D. S., Pedrini, H., Schwartz, W. R., & Rocha, A. D. R. (2012) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi.2012.38 · Cited by 86 · see citing works
An effective biometric cryptosystem combining fingerprints with error correction codes
Li, P., Yang, X., Qiao, H., Cao, K., Liu, E., & Tian, J. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.12.048 · Cited by 85 · see citing works
Detection of obstructive sleep apnea through ECG signal features
Almazaydeh, L. H., Elleithy, K. M., & Faezipour, M. (2012) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit.2012.6220730 · Cited by 84 · see citing works
Synthetic on-line signature generation. Part I: Methodology and algorithms
Javier Galbally, A., Réjean Plamondon, B., Fiérrez, J., & Ortega-García, J. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.12.011 · Cited by 83 · see citing works
Ocular biometrics in the visible spectrum: A survey
Rattani, A., & Derakhshani, R. R. (2016) · Image and Vision Computing · doi:10.1016/j.imavis.2016.11.019 · Cited by 83 · see citing works
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Rahman, A., Chowdhury, M. E. H., Khandakar, A. A., Serkan Kiranyaz, B., Zaman, K. S., Reaz, M. B. I., Islam, M. T., Ezeddin, M., & Kadir, M. A. (2021) · IEEE Access · doi:10.1109/access.2021.3092840 · Cited by 83 · see citing works
Vein pattern database and benchmark results
Kabaciński, R., & Kowalski, M. (2011) · Electronics Letters · doi:10.1049/el.2011.1441 · Cited by 82 · see citing works
Structured Light Techniques and Applications
Bell, T., Li, B., & Zhang, S. (2016) · Wiley Encyclopedia of Electrical and Electronics Engineering · doi:10.1002/047134608x.w8298 · Cited by 82 · see citing works
Hadid, A. (2014) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2014.22 · Cited by 80 · see citing works
Nanni, L., Maiorana, E., Lumini, A., & Campisi, P. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.10.023 · Cited by 79 · see citing works
Multispectral scleral patterns for ocular biometric recognition
Crihalmeanu, S., & Ross, A. A. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.11.006 · Cited by 81 · see citing works
Self-citationA systematic review on keystroke dynamics
Pisani, P. H., & Lorena, A. C. (2013) · Journal of the Brazilian Computer Society · doi:10.1007/s13173-013-0117-7 · Cited by 78 · see citing works
Hand vein biometry based on geometry and appearance methods
Yuksel, A., Akarun, L., & Sankur, B. (2011) · IET Computer Vision · doi:10.1049/iet-cvi.2010.0175 · Cited by 77 · see citing works
Consumer preferences of attributes of mobile payment services in South Korea
Choi, H., Park, J., Kim, J., & Jung, Y. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101397 · Cited by 83 · see citing works
Evaluation of emotional responses to television advertising through neuromarketing
Fernández, A. B., González, M. B., Barquero‐Pérez, Ó., Goya–Esteban, R., & de-la-Morena-Gómez, A. (2017) · Comunicar · doi:10.3916/c52-2017-02 · Cited by 75 · see citing works
Evaluation of direct attacks to fingerprint verification systems
Javier Galbally, A., Fiérrez, J., Alonso‐Fernandez, F., & Martinez‐Diaz, M. (2010) · Telecommunication Systems · doi:10.1007/s11235-010-9316-0 · Cited by 74 · see citing works
Forensic evaluation of the evidence using automatic speaker recognition systems
Ramos, D. (2007) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 74 · see citing works
Iris recognition in non-ideal imaging conditions
Li, P., & Ma, H. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.06.017 · Cited by 73 · see citing works
Poh, N., Kittler, J., & Bourlai, T. (2010) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2010.2041660 · Cited by 72 · see citing works
Group sparse representation based classification for multi-feature multimodal biometrics
Goswami, G., Mittal, P., Majumdar, A., Mayank Vatsa, A., & Singh, R. (2015) · Information Fusion · doi:10.1016/j.inffus.2015.06.007 · Cited by 72 · see citing works
Smartphone User Identity Verification Using Gait Characteristics
Damaševičius, R., Maskeliūnas, R., Venčkauskas, A., & Woźniak, M. (2016) · Symmetry · doi:10.3390/sym8100100 · Cited by 71 · see citing works
Securing Mobile Healthcare Data: A Smart Card Based Cancelable Finger-Vein Bio-Cryptosystem
Yang, W., Wang, S., Hu, J., Zheng, G., Chaudhry, J. A., Adi, E., & Valli, C. (2018) · IEEE Access · doi:10.1109/access.2018.2844182 · Cited by 70 · see citing works
Enhanced Security for ATM Machine with OTP and Facial Recognition Features
Karovaliya, M., Karedia, S., Oza, S., & Kalbande, D. R. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.03.166 · Cited by 70 · see citing works
Ear recognition based on local information fusion
Yuan, L., & Mu, Z. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.09.041 · Cited by 70 · see citing works
Fingerprint Recognition using Image Segmentation
Bana, S., & Kaur, D. (2011) · Cited by 69 · see citing works
Gait authentication on mobile phone using biometric cryptosystem and fuzzy commitment scheme
Hoang, T., Choi, D., & Nguyen, T. D. (2015) · International Journal of Information Security · doi:10.1007/s10207-015-0273-1 · Cited by 68 · see citing works
- 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
