Intelligent Local Face Recognition
Adnan Khashman · InTech eBooks · 2008
Recent Advances in Face Recognition 56 that a quick human "glance" can be simulated in machines using image pre-processing and global pattern averaging, whereas, the perception of a "familiar" face can also be achieved by exposing a neural network to the face via training.In this work, an intelligent local face recognition system which considers a person's essential face features (eyes, nose and mouth) will be presented, and suggestions are made that a person's face can be recognized regardless of his/her facial expression whether being smiley, sad, surprised…etc.Previous works successfully used local facial features for face recognition purposes (Campadelli et al., 2007), (Matsugu, 2007); and also for recognising the facial expression of a person (Matsugu, 2007), (Pantic & Bartlett, 2007).The chapter is organized as follows: section 1 contains an introduction to the chapter.Section 2 presents a review on face recognition that includes: available face image databases, difficulties in face recognition, and brief description of available conventional and artificially intelligent face recognition methods.Section 3 presents in details our case study on intelligent local face recognition, including analysis and discussion of the results of implementing this method.The conclusion of this chapter is presented in section 4, which also provides a discussion on the efficiency of intelligent face recognition by machines.Finally, section 5 lists the references used in this chapter, and section 6 lists commonly used online resources for face recognition databases.