Rahmita W. Rahmat*,  Azizi A. Ibrahim**, Kho Tuz Kuang*,
Elham Bagherian*, Muhamad T. Abdullah*

*Faculty of Computer Science and Info. Tech, Univ. Putra Malaysia, 43400, Serdang, Selangor, Malaysia. 

**Faculty of Management and Economic, Univ. Putra Malaysia, 43400, Serdang, Selangor, Malaysia

 Abstract
This paper introduced a basic Face Recognition system where it was based on distances and ratios and takes 2D image as input and 3D face models as database. Calculation for the distances and ratios is made on the same features of 2D and 3D data, where finally matching is carried out. To extend and prove the usefulness of this proposed system, a basic attendance system was developed. The attendance system takes 2D images captured using webcam, as an input. While 3D faces data was captured using 3D laser scanner and the coordinate points (x,y,,and z) was stored in a designed database. To enable 3D Face Recognition system (3DREC) to retrieve the 3D data, preprocessing has to be done. Preprocessing of 3D data includes cropping, noise-reducing, patching, and smoothing. 3DREC reads preprocessed new entry 3D data, extracts the features, and calculates the distances and ratios and finally add in our simple designed database. Both distances and ratios information from 2D input and 3D database will be matched, in order to complete the recognition. This paper also introduced an enhanced facial features extraction to be compiled in our proposed 3DREC.

Keywords: Face Recognition, Feature Points, Distance Ratio