Face Recognition System on Mobile using Similarity Data Mining Technique
Chatklaw Jareanpon · 2015
This paper proposed the mobile face recognition using data mining technique system. This system is able to help the police to find the suspects from the crime database using Smartphones. The police has to mark the 10 important points in face that are 2 of beginning of the eye lids, 2 of end of the eye lids, nose tip, 2 of center of pupils, 2 of end of mouths, and chin prominence. This system is divided into 2 main functions which are creating the database, and recognizing the face in database. From the recognition process, this research used the data mining technique called “K-nearest neighbor technique”. Our experiment is tested on the 100 pictures students from Department of Computer Science, Faculty of Infomatics, Mahasarakham University. The experiments are divided into 2 tests which are normal user test and software developer test. The normal user test is tested by 5 users with 30 problems, and the average percentage of true detection is 60.664%. The software developer is tested on 3 times of 100 problems, and average percentage of true detection is 65.667 %.