期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：10
DOI：10.15680/IJIRCCE.2015.0310105
出版社：S&S Publications
摘要：Artificial neural network has gained wide acceptance all over the world in the field of medical, technical,scientific, research etc .,the artificial neural network using retinal features has been designed which consist of imageacquisition, processing, feature extraction and authentication . Earlier biometrics such as fingerprint recognition, veinscanning, and face recognition exposed many drawbacks because of its level of precision and security. Retinalrecognition system has gain wide acceptance over other recognition systems because of its uniqueness and high levelof security. Retina is unique from person to person and not even identical twins have the same retinal features hence itcan be used for the authentication purpose in the field where high security isneeded.In this system the high resolutionimages are taken through series of enhancement process before feature extraction is done and the templates are createdfor template matching and authentication purpose and these templates can also be used for future reference. Thefeature extraction is done using fast feature algorithm.
