THE EFFICIENT DATA ACQUISITION, FEATURE EXTRACTION, DATA ANALYSIS (LEARNING), AND JUDGMENT (CLASSIFICATION) METHODS OF A PUPIL AND IRIS LACUNA FOR THE AUTOMATIC ANALYSIS OF IRIS LESIONS IMAGES

摘要

The present invention relates to one kind for obtaining efficient pupil and iris lacuna data, extracts iris lacuna feature, analyzes (study) data, determine the data of (classification) automatically analyzes iris lesion image. More specifically, this method, which is effectively performed, automatically analyzes iris blank image, according to the present invention, including pupil data obtaining step, iris lacuna data acquisition step, iris lacuna characteristic extraction step, the step of data analyze (study) step, determine (classification). The present invention improve the analysis of performance automatic lesion by iris image pass through a small amount of data of relatively steadily, effectively classifying use feature data object as knowing the facts beforehand. ;The 2015 of copyright KIPO submissions