Abstract
This paper proposes a robust method for face recognition with variant illumination, scaling and rotation. Techniques introduced in this work are composed of two stages. First, the feature of face is to be detected by the combined of Trace Transform and Fast Active Contour. Then, in the second stage, the Hausdorff distance and Modified Shape Context are employed to measure and determine of similarity between models and test images. Finally, our method is evaluated with experiments on the AR, ORL and Yale face database using 6,325 face images and compared with other related works (e.g. Eigen face). The extensive experimental results show that the average of accuracy rate of face recognition with variant illumination, scaling and rotation is higher than 84%.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Digital Content: Technology and its Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
