In order to improve the police investigation process middle ear grain recognition accuracy

overcome traditional algorithm in view of the high dimension extrusion ear grain deformation

this paper proposes a ear grain extrusion condition recognition method of alarm.On the basis of the traditional algorithm

the use of computer vision ear grain local mean standard deviation and image processing to deal with the ear grain image grey value

the fusion algorithm of PSA and LDA algorithm

ear grain pattern vector of extrusion condition recognition nonlinear dimension reduction processing

has a strong ability to judge the ear grain extrusion condition recognition classifier

finish high precision dont by mistake.The simulation results show that the algorithm effectively reduces the external factors such as extrusion effect on ear pattern recognition technology

improve the identification accuracy.