DocumentCode :
2126770
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
fYear :
2002
fDate :
2002
Firstpage :
87
Lastpage :
92
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
Type :
conf
DOI :
10.1109/VIPROM.2002.1026634
Filename :
1026634
Link To Document :
بازگشت