Title :
Face recognition using a similarity-based measure in image database for crime investigation
Author :
Srisarkun, Vilasinee ; Cooper, Joan
Author_Institution :
Fac. of Informatics, Wollongong Univ., NSW, Australia
Abstract :
A method to handle searching a face image database (FID) is proposed to support police officers when searching criminal records from a central registration database system (CRDS). The proposed method assumes that each FID consists of a fixable object and object correlation. The proposed method employs a database search, so that all images with a similarity-based measure are retrieved. Consequently, the proposed method is much faster than sequential searching, especially when an additional set of attributes, like scar, is defined. Moreover it requires less storage space.
Keywords :
face recognition; image retrieval; police data processing; query formulation; visual databases; central registration database system; crime investigation; criminal records; database search; face image database; face recognition; fixable object; object correlation; police officers; similarity-based measure; Ear; Eyebrows; Face recognition; Image databases; Image retrieval; Image storage; Informatics; Information retrieval; Pixel; Size measurement;
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
DOI :
10.1109/VIPROM.2002.1026634