2019 - Fellow, The World Academy of Sciences
2016 - Member of the National Academy of Engineering For contributions to the engineering and practice of biometrics.
2015 - Fellow, National Academy of Inventors
2008 - IAPR King-Sun Fu Prize
2007 - W. Wallace McDowell Award, IEEE Computer Society For pioneering contributions to theory, technique, and practice of pattern recognition, computer vision, and biometric recognition systems.
2006 - SPIE Fellow
2005 - Fellow of the American Association for the Advancement of Science (AAAS)
2003 - ACM Fellow For contributions in Pattern Recognition theory.
2003 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to pattern recognition theory and application to biometric authentication
2001 - Fellow of John Simon Guggenheim Memorial Foundation
1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to statistical pattern recognition and range data analysis and for service to IAPR
1991 - IEEE Fellow For contributions to statistical pattern recognition and image processing.
Fellow of the Indian National Academy of Engineering (INAE)
Foreign Member, Chinese Academy of Sciences
Anil K. Jain mainly investigates Artificial intelligence, Pattern recognition, Biometrics, Computer vision and Fingerprint. His Artificial intelligence research integrates issues from Matching and Machine learning. The various areas that Anil K. Jain examines in his Pattern recognition study include Orientation, Contextual image classification, Feature and Image retrieval.
His Biometrics study combines topics from a wide range of disciplines, such as Fingerprint, Authentication and Identification. His research in Fingerprint intersects with topics in Fingerprint Verification Competition, Fingerprint recognition, Minutiae, Fingerprint database and Multimodal biometrics. The concepts of his Feature extraction study are interwoven with issues in Linear discriminant analysis and Feature selection.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Biometrics and Facial recognition system. His study in Feature extraction, Fingerprint, Fingerprint recognition, Face and Minutiae are all subfields of Artificial intelligence. His Pattern recognition research is multidisciplinary, relying on both Image retrieval, Data mining, Feature and Cluster analysis.
His work on Matching expands to the thematically related Computer vision. His Biometrics research incorporates themes from Password, Authentication and Identification. His Facial recognition system study combines topics in areas such as Machine learning and Speech recognition.
Anil K. Jain mainly focuses on Artificial intelligence, Pattern recognition, Facial recognition system, Face and Fingerprint. Anil K. Jain focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Wearable computer. His Pattern recognition research is multidisciplinary, incorporating elements of NIST, Generalization, Representation and Feature.
His study in Facial recognition system is interdisciplinary in nature, drawing from both Training set, Identification, Classifier, Embedding and Machine learning. His Identification study deals with Biometrics intersecting with Authentication. His Face study incorporates themes from Artificial neural network, Speech recognition, Image and Benchmark.
His main research concerns Artificial intelligence, Facial recognition system, Face, Pattern recognition and Machine learning. His research on Artificial intelligence frequently links to adjacent areas such as Computer vision. His work carried out in the field of Facial recognition system brings together such families of science as Image quality, Training set, False accept rate, Identification and Statistical model.
His Face study combines topics from a wide range of disciplines, such as Artificial neural network, Feature and Benchmark. When carried out as part of a general Pattern recognition research project, his work on Feature vector is frequently linked to work in Set, therefore connecting diverse disciplines of study. His research integrates issues of Classifier, Identification, Lemur, Primate and Multi-task learning in his study of Machine learning.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Data clustering: a review
A. K. Jain;M. N. Murty;P. J. Flynn.
ACM Computing Surveys (1999)
Algorithms for clustering data
Anil K. Jain;Richard C. Dubes.
Fundamentals of digital image processing
Anil K. Jain.
Statistical pattern recognition: a review
A.K. Jain;R.P.W. Duin;Jianchang Mao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)
Data clustering: 50 years beyond K-means
Anil K. Jain.
international conference on pattern recognition (2010)
An introduction to biometric recognition
A.K. Jain;A. Ross;S. Prabhakar.
IEEE Transactions on Circuits and Systems for Video Technology (2004)
Handbook of Fingerprint Recognition
Davide Maltoni;Dario Maio;Anil K. Jain;Salil Prabhakar.
Biometrics: Personal Identification in Networked Society
Anil K. Jain;Ruud Bolle;Sharath Pankanti.
Fingerprint image enhancement: algorithm and performance evaluation
Lin Hong;Yifei Wan;A. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)
Face detection in color images
Rein-Lien Hsu;M. Abdel-Mottaleb;A.K. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)
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