The FERET September 1996 Database and Evaluation Procedure (original) (raw)

Evaluation of Face Recognition Methods

Journal of Global Research in Computer Sciences, 2011

Face recognition is an example of advanced object recognition. The process is influenced by several factors such as shape, reflectance, pose, occlusion and illumination which make it even more difficult. Today there exist many well known techniques to try to recognize a face. We present to the reader an investigation into individual strengths and weaknesses of the most common techniques including feature based methods, PCA based eigenfaces, LDA based fisherfaces, ICA, Gabor wavelet based methods, neural networks and hidden Markov models. Hybrid systems try to combine the strengths and suppress the weaknesses of the different techniques either in a parallel or serial manner. Today there exist many well known techniques to try to recognize a face. Experiments done with implementations of different methods have shown that they have individual strengths and weaknesses. Hybrid systems try to combine the strengths and suppress the weaknesses of the different techniques either in a paralle...

Face recognition: evaluation report for FaceIt® Identification and Surveillance

2003

The commercial face recognition software FaceIt® Identification and Surveillance was evaluated using the Facial Recognition Technology (FERET) database. The experimental results show the performance of FaceIt® with variations in illumination, expression, age, head size, pose, and the size of the database which all remain difficult problems in face recognition technology.

Face Recognition Systems: A Survey

Sensors

Over the past few decades, interest in theories and algorithms for face recognition has been growing rapidly. Video surveillance, criminal identification, building access control, and unmanned and autonomous vehicles are just a few examples of concrete applications that are gaining attraction among industries. Various techniques are being developed including local, holistic, and hybrid approaches, which provide a face image description using only a few face image features or the whole facial features. The main contribution of this survey is to review some well-known techniques for each approach and to give the taxonomy of their categories. In the paper, a detailed comparison between these techniques is exposed by listing the advantages and the disadvantages of their schemes in terms of robustness, accuracy, complexity, and discrimination. One interesting feature mentioned in the paper is about the database used for face recognition. An overview of the most commonly used databases, i...