Neural network recognition of human face images stored in the database

The author describes an investigation of human face recognition using neural networks. The investigation is the basis for retrieval and management of human face images stored in the database. The database is similar to FBI or many other law enforcement agencies databases. The goal of the investigation is twofold. First, assuming that an existing database of the front face and profile images is available, the requirement is to know whether the neural network trained on the front image and the profile can recognize any other images of the same person. Second, a minimal set of snapshots of each person is desired consisting of at least the front face and profile, which are needed to train a neural network so that the trained network can then recognize many other snapshots of the same person. The research prototype of a postrelational database management system (DBMs) is discussed called CHINOOK being implemented at the University of Colorado at Colorado Springs. CHINOOK is intended to manage databases of digitized images and digitized one-dimensional data as well as text and tables. CHINOOK is intended to support the retrieval of images by their content