Android application development for face identification with ReKognition API

Abstract

Face comparison and identity verification is a growing and popular technology for the purpose of identity verification, whether for access to the system or to secure the place ReKognition API is an API sample that is open to allow developers to connect to send face images to the processing system of the service provider to speed up the processing and to Allowing devices with low processing power such as smartphones to use these features without the need for complicated processing and high power consumption at the smartphones. This research aims to develop a system to help identify and identify the missing person especially the child. By taking pictures of children suspected of being children who have been declared missing. Using programs developed on Android smartphones. Then the program sends the image to the server for comparison against the database and returns the user by specifying the percentage similarity from the comparison and name of the owner of the image in the database with the Maximum Likelihood percentage. The results showed that the face comparison of the owner of the image in the database was more than the average. The mean of the results of the face comparison of individuals in the database with the lowest mean was 77.9 percent, the mean of the highest was 90.1 percent.