Title
Recognizing a facial image from a police sketch
Abstract
This paper presents a theory and practical computations for the recognition of a facial image given a police-artist sketch. First, the facial features of the police sketch are located automatically. Then, regions centered at these positions that contain high intensity variations are temporarily removed. Then a standardization step transforms the sketch image into a 'photograph-like' image. After this transformation, the high intensity variation regions that were removed are placed back into the standardized image. The resulting image is then passed to the recognition part of our algorithm. In this stage, principle component analysis is performed on both the standardized image to be recognized and the facial images of the training set. Results using actual police sketches and arrest photographs are presented.
Publication Date
12-1-1994
Publication Title
IEEE Workshop on Applications of Computer Vision - Proceedings
Number of Pages
129-137
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0028732805 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0028732805
STARS Citation
Uhl, Robert G.; da Vitoria Lobo, Niels; and Kwon, Young H., "Recognizing a facial image from a police sketch" (1994). Scopus Export 1990s. 51.
https://stars.library.ucf.edu/scopus1990/51