Ordinal Feature Selection for Iris and Palmprint Recognition

• Published in: IEEE transactions on image processing Vol. 23; no. 9; pp. 3922 - 3934
• Main Authors: Sun, Zhenan, Wang, Libin, Tan, Tieniu
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial Intelligence; Biomedical imaging; Biometry - methods; Boosting; Dermatoglyphics; Drafting; Feature recognition; Hand - anatomy & histology; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image processing; Iris - anatomy & histology; Iris recognition; Linear programming; Matching; Mathematical models; Optimization; Pattern Recognition, Automated - methods; Photography - methods; Reporting; Representations; Reproducibility of Results; Sensitivity and Specificity; Skin - anatomy & histology; Software packages; Subtraction Technique; Training; palmprint; Iris; linear programming; ordinal measures; feature selection

Ordinal measures have been demonstrated as an effective feature representation model for iris and palmprint recognition. However, ordinal measures are a general concept of image analysis and numerous variants with different parameter settings, such as location, scale, orientation, and so on, can be...