Neural network, face detection, face recognition

This paper focuses on the issue of detecting and recognizing faces. The work is divided into three main categories. The first part is about detection of faces in constrained conditions. The second part focuses on creation of a different recognition approach. The third one is about the test with robotic devices. However mobile devices (such as robots, small CCD cameras or cheaper cell phones) have many limitations i.e. images quality or very limited computing performance. With respect to limitations the system manages two substantial parts. The first one is responsible for detecting a face in an image. The second one is responsible for calculating the information featured in a face image and recognition of that information. The system is able to process faces in real-time with minimal computation performance and to use minimal space for storing its data. The proposed system was tested on a face database. We have used a FDDB benchmark for an exact comparison.