SYSTEM FOR THE RECOGNITION OF HUMAN FACES

This paper describes a system for content-based retrieval of facial im ages from an image database. The system includes feature extraction ba sed on expert-assisted feature selection, spatial feature measurement, feature and shape representation, feature information compression and organization, search procedures, and pattern-matching techniques. The system uses novel data structures to represent the extracted informat ion. These structures include attributed graphs for representing local features and their relationships, n-tuple of mixed mode data, and hig hly compressed feature codes. For the retrieval phase, a knowledge-dir ected search technique that uses a hypothesis refinement approach extr acts specific features for candidate identification and retrieval. The overall system, the components, and the methodology are described. Th e system has been implemented on an IBM Personal System/2(R) running O perating System/2(R). Examples demonstrating the performance of the sy stem are included.