CLASSIFICATION OF MORPHOLOGICAL IRIS PROPERTIES USING NAIVE BAYES CLASSIFIER

In recent years, person recognition and identity inquiry have been frequently encountered in many areas. Especially in places such as private office entrances, airports, banks, this type of person recognition is done under much more stringent controls. Biometric systems emerged with the idea that using human beings as a control tool would be the most reliable way. Biometric systems mean the use of human physiological features such as iris, fingerprint, face, hand for identification purposes. In this study, iris classification was performed on an iris database that can be used in biometrics. For the classification process, Naive Bayes classifier which is the machine learning algorithm was used. The result was 96.04% education and 92.11% test success.