Iris biometric authentication based on local global graphs: an FPGA implementation
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
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This paper presents a methodology for object recognition using the Local - Global (L-G) Graphapproach. In particular, the L-G graph approach based on an image segmentation approach and synthesis of the regions that compose an object. The synthesis of regions is based on the L-G modeling that compares a set of L-G based object models sitting in an L-G Database. The methodology accurate for objects existed in the DB and it has the ability of "learning". Illustrative examples are also provided.