Optical EngineeringNode-matching-based pattern recognition method for retinal blood vessel images
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Human retinal blood vessel images possess certain characteristics that are suitable for personal identification and other advanced security applications. We propose an image processing algorithm for matching retinal blood vessel patterns based on the locations of intersections of blood vessels. The algorithm includes preprocessing, orientation registration, and similarity measurement. Preliminary experimental results show that our method achieves good discrimination among images from different subjects.