Skip to search form Skip to main content. Pavlidis and Ioannis A. Pavlidis , Ioannis A. We present a two-stage face recognition method based on infrared imaging and statistical modeling.
An Automatic Face Recognition System in the Near Infrared Spectrum
An Automatic Face Recognition System in the Near Infrared Spectrum - Semantic Scholar
Skip to search form Skip to main content. In this paper, we present an automatic face recognition system in the near infrared IR spectrum instead of the visible band. By making use of the near infrared band, it is possible for the system to work under very dark visual illumination conditions. View via Publisher. Alternate Sources. Save to Library.
Physiology-based face recognition in the thermal infrared spectrum.
Face of an individual is a biometric trait that can be used in computer-based automatic security system for identification or authentication of that individual. While recognizing a face through a machine, the main challenge is to accurately match the input human face with the face image of the same person already stored in the face-database of the system. Not only the computer scientists, but the neuroscientists and psychologists are also taking their interests in the field of development and improvement of face recognition.
The current dominant approaches to face recognition rely on facial characteristics that are on or over the skin. Some of these characteristics have low permanency can be altered, and their phenomenology varies significantly with environmental factors e. Many methodologies have been developed to address these problems to various degrees. However, the current framework of face recognition research has a potential weakness due to its very nature. We present a novel framework for face recognition based on physiological information.