Application And Research Of Image Super-resolution Reconstruction In Iris Recognition

Human iris recognition technology is a kind of biological recognition technology,because of its good properties,received extensive attention of the modern people,is one of the most promising biometric authentication technology.Image super-resolution reconstruction technique can make use of a set of low-resolution images to produce high-resolution images.The technology can ensure the image definition of magnified images at the same time,which is widely applied in medical and other fields.In general,there is always an inevitable long distant between collection devices and human eyes,it is difficult to collect clear enough images,and thus affect the detection effect of the iris recognition system.In order to solve this problem,this subject adopts multiple super-resolution reconstruction technology,simulate the continuous shooting scene of human eyes,and reconstruct the low-resolution human eye picture to a high-resolution one to improve the effect of the recognition accuracy.First of all,this subject build a stable and reliable iris recognition system,which combines binary image edge extraction and Daugman algorithm to improve the iris localization accuracy,at the same time,Implements 1D-gabor,2D-gabor and 2D-haar wavelet three kind of encoding method to choose from.Second,this subject implements the Bilinear Interpolation,Adaptive Normalized Convolution,Iterated back-projection and Projections onto Convex Sets four kinds of super-resolution reconstruction algorithm,and compare them from the angle of the running speed and the reconstruction effect.Then,according to the human eye image sampling interval and the degree of cooperation,this subject simulate the two kinds of application scenarios.In the case of time interval is short,meanwhile,the subjects is cooperate enough,it can be divided into first reconstruct human eye images or first locate iris,respectively,and then contrast the identification result.In the end,this subject had the conclusion of the Bilinear Interpolation and Projections onto Convex Sets algorithm is more suitable for the iris recognition,verified that image super-resolution reconstruction has its application value in the iris recognition.