Font Size: a A A

Design Of Palmprint Acquisition And Recognition Base On Embedded

Posted on:2014-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:W C LiFull Text:PDF
GTID:2268330425480662Subject:Control Engineering
Abstract/Summary:
Palmprint identification which is a kind of biometric identificationtechnology has many characteristics such as information rich, strong distinctionability and anti-interference ability and so on. So palmprint identification hasbroad application prospects and a new field of academic research in the biometricidentification field. The palmprint acquisition recognition system overall can bedivided into four modules: palmprint image acquisition, preprocessing, featureextraction and feature matching. The basis of palmprint identification isacquisition palmprint images, so get the stand or fall of quality is key; Imagepreprocessing is capture the Region of interest from the large palm image; therequirement of palmprint feature extraction is that extracting palmprint featureefficiently and the ability to distinguish them which is the key technology ofpalmprint identification; Palmprint feature matching design and selection isanother key factor of palmprint identification.Since the21st century, with the advances in technology of programmabledevices, realizing on the programmable logic arrays FPGA that is SOPCembedded technology which has become a development. SOPC(System on aProgrammable Chip) is a flexible and efficient solution. Flexible design, can becut, extensible, scalable and hardware and software programmable function areall the characteristics of the SOPC technology.In the algorithm design, we use the method of combining image processingand mathematical morphology to extract the sensitive areas of palmprint precisely,and we extract the feature space with dimensional principal component analysis(2DPCA) method, finally matching the image. The main design of software andhardware system is that designing the system architecture those core is the Nios IIprocessor with the SOPC embedded technology. For completing the hardwaredesign of Nios II processor, image acquisition and recognition module we adopt SOPC Builder, DSP Builder and IDE development tools and Verilog, C, C++programming language. The entire collection system put the verifying algorithm,the system design models and the variety function interface integrated in a FPGAchip. This method has many obvious advantages that are updatable algorithm,reconfigurable hardware and software and high operational reliability.The system integrates theory with practice, brings the theoretical andexperimental methods in the laboratory into practical field, from the view ofsystem working, it meets the requirements of the expected basically.Experimental test results showed that the system meets the requirements ofreal-time authentication and reliability and the reusable ability of the systemplatform.
Keywords/Search Tags:Palmprint Identification, 2DPCA, SOPC, DSP Builder
Related items