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E-PRIP Database

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%.

  • Text file containing the URLs (7KB)
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  • To obtain the password for the compressed file, email the duly filled license agreement to with the subject line "License agreement for IdentifyMe 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 paper:
  • S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and A. Noore, On Matching Skulls to Digital Face Images: A Preliminary Approach, In Proceedings of IEEE International Joint Conference on Biometrics, 2017.

Disclaimer:The images in the IdentifyMe database are downloaded from the internet and some of the images on different websites seem to have been taken down. Since it is extremely difficult to keep track of all the links, we are willing to share a mat file containing the normalized images and their labels as used in our experiments. Please contact via e-mail for the same.

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