Self-organizing system for analysis and identification of human faces

Herwig Mannaert; Andre J. Oosterlinck

doi:10.1117/12.23533

1 November 1990 Self-organizing system for analysis and identification of human faces

Herwig Mannaert, Andre J. Oosterlinck

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23533
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

A system is proposed for a fully automatized analysis and identification of a human face appearing in a picture. The system learns a face by analyzing it and storing the extracted features in a database. This analysis starts from a very robust detection of a face and its position scale and orientation based on the position of the eyes. The. four transformation parameters define the face-specific coordinates which are used during the entire analysis. In these coordinates some face features are detected and stored which belong roughly to three categories: geometrical proportions surface properties and iconic features. The identification of a person using a different picture of a known person also starts from a face analysis. Using the features the presented face is correlated with all faces present in the database. The correlation of the extracted features contains two steps: individual measures (correlating iconic features computing differences in geometrical proportions or surface properties) give the similarity between two faces for one feature while a global measure (a Euclidean norm for instance) combines these similarity values. The system is therefore able to identify a known person by finding the best match. The results of the system on real images are presented. It is shown that the identification is quite selective.

Citation Download Citation

Herwig Mannaert and Andre J. Oosterlinck "Self-organizing system for analysis and identification of human faces", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23533

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