Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing

This paper presents the modular neural network architecture as a system for recognizing persons based on the iris biometric measurement of humans. In this system, the human iris database is enhanced with image processing methods, and the coordinates of the center and radius of the iris are obtained to make a cut of the area of interest by removing the noise around the iris. The inputs to the modular neural network are the processed iris images and the output is the number of the person identified. The integration of the modules was done with a gating network method.