Current research on matching sketches with digital face images has primarily focused on hand drawn sketches. However, law enforcement agencies are now using software tools to generate composite sketches. In this paper, we propose a face recognition algorithm to match composite sketches with digital face images. The contribution of this research is three fold: (1) proposing feature extraction and matching algorithm using visual saliency and combination of texture features, (2) incorporating attributes for re-ordering the ranked list, and (3) utilizing multiple experts such as multiple composite sketch generation tools or artists for improving the matching performance. The results computed on the extended PRIP database show that the proposed algorithm improves the state-of-art in matching composite sketch and digital face images and yields the rank 50 identification accuracy of 81.3%.
The database can be downloaded from the following link: EPRIP Database (8MB)
(CRC32: EB560267, MD5: D20F4674CA13347A301AB874C17305E0, SHA-1: 5E4A364546F838F22B1FF87B6B6C6068566AA296)
To obtain the password for the compressed file, kindly take a print out of the license agreement, fill it up and send the scanned copy to email@example.com. with the subject line "License agreement for EPRIP Database".
As soon as we obtain the signed license agreement in scanned form, we would provide you with the access to our database.
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, you must refer to the following papers: