人耳特征算法研究-运筹学离与控制论专业毕业论文.pdf.docx

人耳特征算法研究Algorithm 人耳特征算法研究 Algorithm Research on Ear Characteristic Key words：Ear recognition； Edge pretreatment； Feature extraction； Feature compression：Non-rule CU_rVe Contour Ear Recognition is all important biometric identification method．It has a wide range of uses． It is feasible to distinct different person by person’s ear．Ear recognition has an unparalleled advantage than the other methods．The most important thing of ear recognition is extracting simple and effective feature，which is used to distinguish different person．Unified theory has not been raised．We discuss the current methods on how to get human ear features．And then we propose a new category method of forming ear features：feature forming methods based on non-planar curves and contours in plane．We will discuss in the following three areas on this topic． First,this paper puts forward six new methods on how to process detecting image of ears． Their core idea is extracting the similar part from different ears．Ear recognition could become meaningful only in this way．It should be stated that the first four algorithrus is followed,and the last two algorithms is parallel．We should process the ear image by the first four algorithms，and then select the fourth or the fifth algorithm according to the actual needs．These methods are as follows：extracting the long axis of ear curve and marking endpoint，determining the two vertices of ear edge，determining the two nodal which is created by the long axis of ear curve and ear contours，etiminatmg the black pixels of the four err vertexes，detecting the intemal and external ear contour line，dividing the edge sequence by equal interval，and SO on． Secondly,we give the definition of the method which could format ear characteristics by non-planar curves and contour：extract the outer contour line and internal counter line，and then differentiate the extracting curve by using a certain type of recognition method based on non-planar curves and contour,thus we could compl