Dr. Dong Keun Kim
Dr. Dong Keun Kim
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Collection Editor
Department of Intelligent Engineering Informatics for Human, Institute of Intelligent Informatics Technology, Sangmyung University, Seoul 03016, Korea
Interests: Biomedical signal and image processing in biomedical/Healthcare Sensors and its applications; Networks and Artificial IoT for various sensors
Prof. Dr. Junliang Xing
Prof. Dr. Junliang Xing
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Co-Collection Editor
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Interests: computer vision (object detection, tracking, segmentation, registration, recognition, etc.); machine learning (deep learning, reinforcement learning, evolutionary learning, etc.)
Dear Colleagues,
Various imaging and sensors technologies for biometrics systems have long been regarded as challenging topics when it comes to providing the ability to identify individuals based on their characteristics. However, research to quantitatively recognize and authenticate the many human biometric features through the development of the 4th industrial revolution technologies, such as Artificial Intelligence, IoT, Blockchain, etc. have only recently seen rapid progress.
Recent studies on “biometric systems” have been actively carried out to quantitatively recognize human biometric and sense it as a multimodal parameters such as images, sounds, and voices to provide adequate applications. As these studies have been ongoing over several decades, there has been a paradigm shift from a system that requires an artificial intelligent sensor, deep-learning-based imaging systems, and blockchain-based authentication. In addition, multimodal biometric approaches to recognize and authenticate human biometrics can be found by analyzing factors that may affect biometric systems in the environment. Within this framework, I am pleased to serve as Guest Editor of this Special Issue on “Imaging and Sensing of Biometric Systems”. For this Special Issue, research regarding imaging and sensor applications on biometrics while considering applicable technology of imaging and sensors for biometric systems is of interest. Of particular interest is research that can break away from traditional sensor technology that brings obstacles of technologies, and research that instead solves the challengeable research issues of biometric systems through novel sensor-based solutions.
Dr. Dong Kim
Collection Editor
Prof. Dr. Junliang Xing
Co-Collection Editor
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