Construction Of Describing The Geometric Model Of Human Eye Characteristics Study Of Parameter Optimization Mechanism

During the construction of describing the geometric model of human eye characteristics and study of parameter optimization mechanism,according to the semantic description of human eyes' features in people's daily life as a basis,standard ID photo as object of study,based on the geometry position of eyes and eyebrows on the face,and traditional culture is usually described eyes and eyebrows as a whole.Take eyes,IRIS,eyebrows as a unified whole,and construct a new hybrid mix parameter model and mixed characteristic parameters to describe eyes feature.Through computer simulation to optimize the hybrid characteristic parameters continuously.Calibrating semantic features of eyes using quantifying semantic parameters.In the mixture integration parameter model of constructed eyebrow and eye,14 main characteristic parameters are set up for the eyes,eyebrows and facial features.According to this,creating 28 bit binary semantic encoding.Image processing is divided into four steps,first,according to the eye contours reflected by the chroma information to position eyebrow and IRIS,and using eye strip region to conduct image segmentation.Second,achieve the detection of eyebrows and outer edge of the IRIS contour through improved Hough transform algorithm.Then extract mixed characteristic parameters of eyes by projection method.Finally,by characteristic parameters to achieve semantic encoding.After the experiment of 1000 ID photos,show that image feature extraction success rate is over 99%,and system for automatic processing time of each image is less than 1.75 second.