April 1, Wednesday
12:00 – 14:00
Adaptive shape prior for recognition and variational segmentation of degraded historical characters
Graduate seminar
Lecturer : Itay Bar-Yosef
Affiliation : CS, BGU
Location : 201/37
Host : Graduate seminar
We present a novel approach for model based segmentation of gray-scale images of highly degraded historical documents. Given a training set of characters (of a certain letter), we construct a small set of shape models that cover most of the training set's shape variance. For each gray-scale image of a respective degraded character, we construct a custom made shape prior using those fragments of the shape models that best fit the character's boundary. Experiments show that our method achieves very accurate results both in segmentation of highly degraded characters and both in recognition