An Intensified Approach to Face Recognition through Average Half Face

Face recognition has broad excitement in the latest trend in image processing. Face recognition refers to identify a specific individual in digital image by analyzing and comparing patterns. It has numerous benefits which attract every sector but there are some issues such as more time consumption and lesser accuracy which degrade the user services. To solve this problem we proposed a highly accurate and fast method to reduce the execution time. The proposed method uses average half face approach because overall system's accuracy is better in it rather than using the original full face image. The proposed method can be used to recognize both 2D and 3D images. It mainly includes the average half face creation, feature detection, full face recognition through average half face using distance metrics and finally checking system's accuracy along with time consumption. The proposed method is based on eye, nose and mouth detection.