Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available. A handwriting recognition system handles formatting, performs correct segmentation into characters, and finds the most possible words.
James Reginald Cordy is a Canadian computer scientist and educator who is Professor Emeritus in the School of Computing at Queen's University. As a researcher he is most recently active in the fields of source code analysis and manipulation, software reverse and re-engineering, and pattern analysis and machine intelligence. He has a long record of previous work in programming languages, compiler technology, and software architecture.
Optical music recognition (OMR) is a field of research that investigates how to computationally read musical notation in documents. The goal of OMR is to teach the computer to read and interpret sheet music and produce a machine-readable version of the written music score. Once captured digitally, the music can be saved in commonly used file formats, e.g. MIDI and MusicXML . In the past it has, misleadingly, also been called "music optical character recognition". Due to significant differences, this term should no longer be used.
King-Sun Fu was a Chinese-born American computer scientist. He was a Goss Distinguished Professor at Purdue University School of Electrical and Computer Engineering in West Lafayette, Indiana. He was instrumental in the founding of International Association for Pattern Recognition (IAPR), served as its first president, and is widely recognized for his extensive and pioneering contributions to the field of pattern recognition and machine intelligence. In honor of the memory of Professor King-Sun Fu, IAPR gives the biennial King-Sun Fu Prize to a living person in the recognition of an outstanding technical contribution to the field of pattern recognition. The first King-Sun Fu Prize was presented in 1988, to Azriel Rosenfeld.
Sargur Narasimhamurthy Srihari was an Indian and American computer scientist and educator who made contributions to the field of pattern recognition. The principal impact of his work has been in handwritten address reading systems and in computer forensics. He was a SUNY Distinguished Professor in the School of Engineering and Applied Sciences at the University at Buffalo, Buffalo, New York, USA.
Bir Bhanu is the Marlan and Rosemary Bourns Endowed University of California Presidential Chair in Engineering, the Distinguished Professor of Electrical and Computer Engineering, and Cooperative Professor of Computer Science and Engineering, Mechanical Engineering and Bioengineering, at the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside (UCR). He is the first Founding Faculty of the Marlan and Rosemary Bourns College of Engineering at UCR and served as the Founding Chair of Electrical Engineering from 1/1991 to 6/1994 and the Founding Director of the Center for Research in Intelligent Systems (CRIS) from 4/1998 to 6/2019. He has been the director of Visualization and Intelligent Systems Laboratory (VISLab) at UCR since 1991. He was the Interim Chair of the Department of Bioengineering at UCR from 7/2014 to 6/2016. Additionally, he has been the Director of the NSF Integrative Graduate Education, Research and Training (IGERT) program in Video Bioinformatics at UC Riverside. Dr. Bhanu has been the principal investigator of various programs for NSF, DARPA, NASA, AFOSR, ONR, ARO and other agencies and industries in the areas of object/target recognition, learning and vision, image/video understanding, image/video databases with applications in security, defense, intelligence, biological and medical imaging and analysis, biometrics, autonomous navigation and industrial machine vision.
Pattern Recognition in Bioinformatics (PRIB) was an international computer science conference covering pattern recognition algorithms in bioinformatics and computational biology. It was also the major event of Technical Committee 20 of the International Association for Pattern Recognition (IAPR), and has been held annually from 2006 to 2014 around the world. The articles appearing in the PRIB conference proceedings were published in Lecture Notes in Bioinformatics by Springer Science+Business Media.
Matti Kalevi Pietikäinen is a Finnish computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research, and Scientific Director of Infotech Oulu.
The MNIST database is a large database of handwritten digits that is commonly used for training various image processing systems. The database is also widely used for training and testing in the field of machine learning. It was created by "re-mixing" the samples from NIST's original datasets. The creators felt that since NIST's training dataset was taken from American Census Bureau employees, while the testing dataset was taken from American high school students, it was not well-suited for machine learning experiments. Furthermore, the black and white images from NIST were normalized to fit into a 28x28 pixel bounding box and anti-aliased, which introduced grayscale levels.
PRIA, the International Conference on Pattern Recognition and Image Analysis, is a biennial scientific international conference organized by the Russian Academy of Sciences and Springer Science+Business Media. It is officially sponsored by the International Association for Pattern Recognition. The conference areas are pattern recognition, image analysis, computer vision, and artificial intelligence. The conference usually includes the meeting of IAPR Technical Committee 16 "Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis".
Venu Govindaraju is an Indian-American whose research interests are in the fields of document image analysis and biometrics. He presently serves as the Vice President for Research and Economic Development. He is a SUNY Distinguished Professor of Computer Science and Engineering, School of Engineering and Applied Sciences at the University at Buffalo, The State University of New York, Buffalo, NY, USA.
Jagdishkumar Keshoram Aggarwal is an American computer scientist, who is currently retired and is Cullen Trust Endowed Emeritus Professor of the Department of Electrical and Computer Engineering at the Cockrell School of Engineering, University of Texas at Austin. He is known for his contributions in the fields of computer vision, pattern recognition and image processing focusing on human motion and activities. He served in various positions in the Department of Electrical and Computer of the University of Texas at Austin and other institutions.
David S. Doermann is an American computer science researcher and professor in the areas of document analysis, computer vision, and artificial intelligence.
René Vidal is a Chilean electrical engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory. He is the Herschel L. Seder Professor of the Johns Hopkins Department of Biomedical Engineering, and the founding director of the Mathematical Institute for Data Science (MINDS).
Scene text is text that appears in an image captured by a camera in an outdoor environment.
Tin Kam Ho is a computer scientist at IBM Research with contributions to machine learning, data mining, and classification. Ho is noted for introducing random decision forests in 1995, and for her pioneering work in ensemble learning and data complexity analysis. She is an IEEE fellow and IAPR fellow.
Gang Hua is a Chinese-American computer scientist who specializes in the field of computer vision and pattern recognition. He is an IEEE Fellow, IAPR Fellow and ACM Distinguished Scientist. He is a key contributor to Microsoft's Facial Recognition technologies.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
Josiane Zerubia is a French research scientist. She is the Director of Research at INRIA (DRCE), Université Côte d'Azur. Dr. Zerubia has made pioneering research contributions. She has been the Principal Investigator of numerous projects like of the Ayin (2012-2016), the Ariana (1998-2011) and of the Pastis (1995-1997). Presently, she is leading as head of the Ayana exploratory project (2020-2023). She has been professor (PR1) at SUPAERO (ISAE) in Toulouse since 1999.
Isabelle Guyon is a French-born researcher in machine learning known for her work on support-vector machines, artificial neural networks and bioinformatics. She is a Chair Professor at the University of Paris-Saclay. Guyon serves as the Director, Research Scientist at Google Research since October 2022.
