Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches

Chiranji Lal Chowdhary is an associate professor in the School of Information Technology and Engineering at VIT University, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College at Jodhpur in 2001 and M.Tech. (CSE) from the M.S. Ramaiah Institute of Technology at Bangalore in 2008. He received his Ph.D. in Information Technology and Engineering from the VIT University Vellore in 2017. From 2006 to 2010, he worked at M.S. Ramaiah Institute of Technology in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. He has given few invited talks on medical image processing. He is the editor/co-editor of five books and is the author of over 40 articles on computer science. He filed two patents deriving from his research.Mamoun Alazab is an associate professor at the College of Engineering, IT, and Environment, Charles Darwin University, Australia. His multidisciplinary research in cyber security and digital forensics focuses on cybercrime detection and prevention including cyber terrorism and cyber warfare. He works closely with government and industry on projects including IBM, the Australian Federal Police (AFP), the Australian Communications and Media Authority (ACMA), the United Nations Office on Drugs and Crime (UNODC), and the Attorney General's Department. He is a Senior Member of the IEEE and founding chair of the IEEE Northern Territory (NT) Subsection. He holds a Ph.D. degree in Computer Science from the School of Science, Information Technology, and Engineering, Federation University of Australia.Ankit Chaudhary is an assistant professor at the Department of Computer Science, University of Missouri at Saint Louis, USA. His research focuses on data science, computer vision and cyber security. He has authored three books. He is an associate editor and on the editorial board of several International Journals. He is a member of the IEEE. He received his Ph.D. degree in Computer Engineering from CSIR-CEERI, India.Saqib Hakak is an assistant professor at the Canadian Institute for Cybersecurity, the University of New Brunswick, Fredericton, Canada. His current research interests include fake news detection, security and privacy, anomaly detection, natural language processing, and applications of AI. He has worked on numerous industrial projects involving IBM Canada, and TD Bank, Bell Canada. He received a complimentary ACM professional membership based on his services to the research community. He holds a Ph.D. degree from the Faculty of Computer Science and Information Technology, University of Malaya, Malaysia.Thippa Reddy Gadekallu is an associate professor at the School of Information Technology and Engineering, VIT, Vellore, India. His areas of research include machine learning, deep neural networks, internet of things, and blockchain. He holds a Ph.D. degree in Data Mining from VIT, India.

• Chapter 1: Computer vision and recognition-based safe automated systemsChapter 2: DLA: deep learning acceleratorChapter 3: Intelligent image retrieval system using deep neural networksChapter 4: Handwritten digits recognition using dictionary learningChapter 5: Handwriting recognition using CNN and its optimization approachChapter 6: Real-time face mask detection on edge IoT devicesChapter 7: Current challenges and applications of DeepFake systemsChapter 8: Vehicle control system based on eye, iris, and gesture recognition with eye trackingChapter 9: Sentiment analysis using deep learningChapter 10: Classification of prefeature extracted images with deep convolutional neural network in facial emotion recognition of vehicle driverChapter 11: MobileNet architecture and its application to computer visionChapter 12: Study on traffic enforcement cameras monitoring to detect the wrong-way movement of vehicles using deep convolutional neural networkChapter 13: Glasses for smart tourism applicationsChapter 14: Renal calculi detection using modified grey wolf optimizationChapter 15: On multi-class aerial image classification using learning machinesChapter 16: Machine learning methodology toward identification of mature citrus fruitsChapter 17: Automated detection of defects and grading of cashew kernels using machine learning