Autors: Andonova, A. V., Radev A.
Title: Method of face recognition from thermal images
Keywords: Thermography, Face recognition, Thermal images

Abstract: The current article examines an approach for face recognition based on thermal imaging methods and Matlab image processing. Images of persons, captured with an infrared camera, are submitted to filtration and morphological operations in order to extract parts of the face that could be used for its recognition. Then the images are processed in order to determine the specific contours of the face of the captured person as well as the blood vessels. The aim of this article is to present the methods of image processing and comparison between the images of individuals used in this face recognition system.

References

    Issue

    11th International Conference on Quantitative InfraRed Thermography (QIRT 2012), pp. 1-4, 2012, Italy, NDT.net’s Open Access Archive, dx.doi.org/10.21611/qirt.2012.350

    Full text of the publication

    Цитирания (Citation/s):
    1. Stastny J., Skorpil, V., Fejfar J.,Visualization of Uncertainty in LANDSAT Classification Process, 38th Int.l Conf. on Telecommunications and Signal Processing (TSP), Prague, CZECH REPUBLIC , JUL 09-11, 2015, pp. 789-792, DOI: 10.1109/TSP.2015.7296374 - 2015 - в издания, индексирани в Scopus или Web of Science
    2. Skorpil V., V. Oujezsky, P. Cika ; M. Tuleja, Parallel Processing of Genetic Algorithms in Python Language, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring), Rome, Italy, 2019, pp. 3727-3731, ISSN: 1559-9450, DOI: 10.1109/PIERS-Spring46901.2019.9017332 - 2019 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Google Scholar