Face Verification base-on Hausdorff-Shape Context
Rerkchai Fooprateepsiri, Werasak Kurutach · 2009
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%.