Plenary Lecture

Feature extraction for CBIR and Biometrics applications

Professor Ryszard S. Choras
Institute of Telecommunications
University of Technology & Life Sciences
S. Kaliskiego 7
85-792 Bydgoszcz
Poland
Ε-mail: choras@utp.edu.pl

Abstract: In CBIR visual features such as shape, color and texture are extracted to characterize images. Each of the features is represented using one or more feature descriptors. During the retrieval, features and descriptors of the query are compared to those of the images in the database in order to rank each indexed image according to its distance to the query.
In biometrics systems using images as patterns (e.g. fingerprint, iris, hand etc.) those images are also represented by feature vectors. The candidates patterns are then retrieved from database by comparing the distance of their feature vectors.
The feature extraction methods for this applications are discussed.

Brief Biography of the Speaker:
Ryszard S. Choras received the MSc degree in electronics engineering and the PhD degree in computer engineering both from the Faculty of Electronic of the Technical University of Wroclaw, Poland, in 1973, and 1981, respectively. He received DSc (habilitation) in computer science from the Faculty of Electronics of the Technical University of Warsaw in 1993. He is currently Professor in the Institute of Telecommunications of the University of Technology & Life Sciences, Bydgoszcz, Poland.
His research experience covers image processing and analysis, image coding, feature extraction and computer vision. At present, he is working in the field of image retrieval and indexing, mainly in low- and high-level features extraction and knowledge extraction in CBIR
systems.
He is the author of Computer Vision. Methods of Image Interpretation and Identification (2005) and more than 143 articles in journals and conference proceedings.
He is the member of the Polish Cybernetical Society, Polish Neural Networks Society, IASTED, and the Polish Image Processing Association.