2022 - Research.com Computer Science in India Leader Award
2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to face recognition and pattern classification
2017 - ACM Senior Member
Richa Singh focuses on Artificial intelligence, Computer vision, Facial recognition system, Pattern recognition and Face. Her research in Artificial intelligence focuses on subjects like Machine learning, which are connected to Classifier. In her research, Statistical classification and Ocular biometrics is intimately related to Identification, which falls under the overarching field of Computer vision.
Her work on Three-dimensional face recognition as part of her general Facial recognition system study is frequently connected to Gabor transform, thereby bridging the divide between different branches of science. Richa Singh has researched Pattern recognition in several fields, including Image resolution, Feature, Matching, Algorithm design and RGB color model. The study incorporates disciplines such as Support vector machine, Matching, Identity, Information retrieval and Replay attack in addition to Face.
Richa Singh mainly investigates Artificial intelligence, Facial recognition system, Pattern recognition, Computer vision and Face. Her research integrates issues of Matching and Machine learning in her study of Artificial intelligence. Her Facial recognition system research is multidisciplinary, incorporating elements of Artificial neural network, Feature and Identification.
She regularly links together related areas like Image quality in her Pattern recognition studies. The Computer vision study combines topics in areas such as Sketch and Authentication. Her Face research integrates issues from Matching, Image, Identity and Image resolution.
The scientist’s investigation covers issues in Artificial intelligence, Deep learning, Facial recognition system, Machine learning and Pattern recognition. The study of Artificial intelligence is intertwined with the study of Computer vision in a number of ways. Her Deep learning research is multidisciplinary, relying on both Adversarial system, Image, Feature learning and Robustness.
Profiling is closely connected to Identification in her research, which is encompassed under the umbrella topic of Facial recognition system. When carried out as part of a general Machine learning research project, her work on Artificial neural network and Feature is frequently linked to work in Task analysis, therefore connecting diverse disciplines of study. Her biological study spans a wide range of topics, including Function and Image quality.
Richa Singh mostly deals with Artificial intelligence, Deep learning, Facial recognition system, Pattern recognition and Face. Her Artificial intelligence study incorporates themes from Machine learning and Computer vision. Her studies in Deep learning integrate themes in fields like Iris recognition, Biometrics, Blockchain, Public-key cryptography and Feature extraction.
Her Facial recognition system research is multidisciplinary, incorporating perspectives in Algorithm, Feature learning, Convolutional neural network and Word error rate. Richa Singh interconnects Autoencoder, Minutiae and Generative grammar in the investigation of issues within Pattern recognition. Her Face research incorporates elements of Visualization, Pattern recognition, Identity and Identification.
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.
A Robust Skin Color Based Face Detection Algorithm
Sanjay Kr. Singh;D. S. Chauhan;Mayank Vatsa;Richa Singh.
Journal of Applied Science and Engineering (2003)
Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing
M. Vatsa;R. Singh;A. Noore.
systems man and cybernetics (2008)
Computationally Efficient Face Spoofing Detection with Motion Magnification
Samarth Bharadwaj;Tejas I. Dhamecha;Mayank Vatsa;Richa Singh.
computer vision and pattern recognition (2013)
Plastic Surgery: A New Dimension to Face Recognition
Richa Singh;Mayank Vatsa;Himanshu S Bhatt;Samarth Bharadwaj.
IEEE Transactions on Information Forensics and Security (2010)
Periocular biometrics: When iris recognition fails
Samarth Bharadwaj;Himanshu S. Bhatt;Mayank Vatsa;Richa Singh.
international conference on biometrics theory applications and systems (2010)
Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition
Richa Singh;Mayank Vatsa;Afzel Noore.
Pattern Recognition (2008)
Memetically Optimized MCWLD for Matching Sketches With Digital Face Images
H. S. Bhatt;S. Bharadwaj;R. Singh;M. Vatsa.
IEEE Transactions on Information Forensics and Security (2012)
Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning
Ishan Manjani;Snigdha Tariyal;Mayank Vatsa;Richa Singh.
IEEE Transactions on Information Forensics and Security (2017)
Unraveling the Effect of Textured Contact Lenses on Iris Recognition
Daksha Yadav;Naman Kohli;James S. Doyle;Richa Singh.
IEEE Transactions on Information Forensics and Security (2014)
Feature based RDWT watermarking for multimodal biometric system
Mayank Vatsa;Richa Singh;Afzel Noore.
Image and Vision Computing (2009)
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