A knowledge-based approach to the iris segmentation problem

Image and Vision Computing

Volumn 28, Issue 2, 2010, Pages 238-245

  Almeida, Pedro de ^a  

^a UNIVERSITY OF BEIRA INTERIOR   (Portugal)

Author keywords

Expert system; Intelligent image analysis; Iris; Knowledge based; Segmentation

Indexed keywords

EXPERT SYSTEMS; LOCATION;

COMPUTER-BASED SOLUTIONS; DECISION RULES; DIRECT ENCODING; HUMAN EYE; IMAGE PREPROCESSING; INTELLIGENT IMAGE ANALYSIS; IRIS LOCATION; IRIS SEGMENTATION; KNOWLEDGE BASE; KNOWLEDGE-BASED APPROACH; PROCESSING PROBLEMS; TRAINING IMAGE;

IMAGE ANALYSIS;

EID: 70449635722     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.07.003     Document Type: Article

References (5)

1. H. Proença, L. Alexandre, The NICE.I: noisy iris challenge evaluation - part I, in: Proceedings of the IEEE First International Conference on Biometrics: Theory, Applications and Systems - BTAS 2007, Washington, DC, September, 2007.
2. E.A. Feigenbaum, The art of artificial intelligence: I. Themes and case studies of knowledge engineering, in: Proceedings of the Fifth International Joint Conference on Artificial Intelligence, Massachusetts Institute of Technology, 1977, pp. 1014-1029.
3. Buchanan B.G., and Smith R.G. Fundamentals of expert systems. In: Traub J.F., Barbara J.G., Butler W.L., et al. (Eds). Annual Review of Computer Science vol. 3 (1988), Annual Reviews, Inc., Palo Alto, CA 23-58
4. Giarratano J.C., and Riley G.D. Expert Systems: Principles and Programming. fourth ed. (Hardcover) (2004), Course Technology, Boston, MA
5. Viola P., and Jones M. Robust real-time face detection. International Journal of Computer Vision 57 2 (2004) 137-154