Face recognition has many advantages in today's life. Understanding the under laying mechanism of human's face recognition could be used to build computer systems capable of recognizing human faces. The application of such system spawns many topics: surveillance systems, biomedical field, military, system security, and many more. With so many applications a methodology to match faces in near real-time is an urgent need. This work presents a distributed scalable face recognition framework that can be used to solve computational intense problems.
This work has presented a novel idea of matching faces in face recognition technology. The technology of face-recognition fused with distributed computing presents a clear working example of implementing on a large scale a face-recognition suite.
The work has been implemented and shows to operate in near-real time environment. However, there are improvements to be made.
Using more than one face recognition technology to recognize a face, and using the intersecting results to derive the matching face is the first improvement. Complementing one technique with another technique to improve the face recognition matching is surely a priority number one.
The next improvement can be made in the motion detection engine. Optimization to it, such as scaling the frame to a lower size, only analyzing every fifth frame, and getting rid of masking the bits.
Another important improvement is to provide support for other thin-client recognition modules. It can be such technologies as iris-recognition, fingerprint-recognition, or even speech recognition. The combination of many recognition technologies can serve to identify a person more easily.
Future work also requires more research to be done in face operations. Automatically removing background information from a frame to not introduce any unnecessary artifacts. Generating from one face a multitude of others with different alternations - beard (or the lack of it); sunglasses; long hair (or short hair). All of these would serve to identify a possible match with a person who might have change his or her face appearance.