Abstract: This lecture is a survey on biometrics and forensics, especially methods of image processing and recognition for human identification. A biometric system is a pattern recognition system that recognizes a person on the basis of a feature vector derived from a specific physiological or behavioral characteristic that the person possesses.
All biometric systems work in a similar fashion:
- The user submits a sample that is an identifiable, unprocessed image or recording of the physiological or behavioral biometric via an acquisition device,
- This image and/or biometric is processed to extract information about distinctive features.
Biometric systems have four main components: sensor, feature extraction, biometric database, matching-score and decision-making modules.
The processes of forensic computing can be divided into three main areas:
- Image Capture - The Imaging process is fundamental to any computer investigation.
- Image Processing - The processing software to extract features of the target image.
- Investigation.
Distinctions between biometrics and forensic are based on the fact that biometrics methods are implemented on live subjects. Techniques designed for person identification in biometrics can be utilized for forensic purposes.
Personal attributes used in a biometric identification system can be physiological, such as facial features, fingerprints, iris, retinal scans, hand and finger geometry; or behavioral, the traits idiosyncratic of the individual, such as voice print, gait, signature, and keystroking.
In this paper a recognition methods are presented for recognizing a person on the basis of a feature vector derived from a biometrics templates/images.

Brief Biography of the Speaker:
Prof. Ryszard S. Choraś is currently Full 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 163 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. Professor Choras is a member of the editorial boards of Machine Vision and Graphics, International Journal of Biometrics (IJBM), International Journal of Biology and Biomedical Engineering, Recent Patents On Signal Processing (Bentham Open). He is the editor-in-chief of WSEAS Transaction on Signal Processing Journal, Image Processing and Communications, An International Journal and associate editor-in-chief Computer Science Journals (CSC Journals) Image Processing (IJIP).
He has served on numerous conference committees, e.g., as Visualization, Imaging, and Image Processing (VIIP) , IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA) and International Conference on Computer Vision and Graphics, ICINCO\ICATE Conference.