Title :
Face Verification base-on Hausdorff-Shape Context
Author :
Fooprateepsiri, Rerkchai ; Kurutach, Werasak
Author_Institution :
Fac. of Inf. Sci. & Technol., Mahanakorn Univ. of Technol., Bangkok
Abstract :
This paper proposes a highly robust method for face recognition and authentication. Techniques introduced in this work are composed of two stages. Firstly, the feature of face is to be detected by the principle of Trace Transform. Then, in the second stage, the Hausdorff distance and Shape Context are employed to measure and determine of similarity between models and test images. From the experimental result of 6,325 images, the average of accuracy rate is higher than 84%.
Keywords :
face recognition; transforms; Hausdorff-shape context; face authentication; face recognition; face verification; trace transform; Authentication; Face detection; Face recognition; Feature extraction; Linear discriminant analysis; Object recognition; Principal component analysis; Robotics and automation; Scattering; Shape measurement; Face Recognition and Authentication; Hausdorff distance;
Conference_Titel :
Informatics in Control, Automation and Robotics, 2009. CAR '09. International Asia Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-3331-5
DOI :
10.1109/CAR.2009.83
