Stimulated by hardware advances and a fast-growing consumer market, mobile biometrics aim to achieve conventional functionality and robustness while also supporting portability and mobility, bringing greater convenience and opportunity for deployments in a wide range of operational environments.
“Mobile Biometrics” discusses the history and challenges of mobile biometric devices, including the development of smartwatch-based gait biometrics, four-fingers biometric systems and palm print recognition on mobile devices.
“Mobile biometrics focuses on not only making the traditional biometric modalities more convenient and portable, but also on developing new modalities to improve mobile identification and authentication by utilizing the mobile sensors in smart phones and watches,” said Guo. “Biometrics research and education has been a high priority at WVU and this book can be a useful resource to enhance the visibility of our program.”
An expert in solving computer vision and biometrics problems using learning-based techniques, Guo is the founder and director of WVU’s Computer Vision Laboratory. He is also affiliated with the Center for Identification Technology Research, a National Science Foundation Industry/University Cooperative Research Center founded at WVU. He has conducted extensive research in areas related to face recognition, facial expression recognition, iris recognition, age estimation, soft biometrics and human action recognition as well as using computational technologies for smart health applications.
The book, Guo’s third, was co-written by Harry Wechsler, professor of computer science at George Mason University.
The book is being published by Institution of Engineering and Technology.
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