Abstract | ||
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Automatic matching of poor quality latent fingerprints to rolled/slap fingerprints using an Automated Fingerprint Identification System (AFIS) is still far from satisfactory. Therefore, it is a common practice to have a latent examiner mark features on a latent for improving the hit rate of the AFIS. We propose a synergistic crowd powered latent identification framework where multiple latent examiners and the AFIS work in conjunction with each other to boost the identification accuracy of the AFIS. Given a latent, the candidate list output by the AFIS is used to determine the likelihood that a hit at rank-1 was found. A latent for which this likelihood is low is crowdsourced to a pool of latent examiners for feature markup. The manual markups are then input to the AFIS to increase the likelihood of making a hit in the reference database. Experimental results show that the fusion of an AFIS with examiner markups improves the rank-1 identification accuracy of the AFIS by 7.75% (using six markups) on the 500 ppi NIST SD27, 11.37% (using two markups) on the 1000 ppi ELFT-EFS public challenge database, and by 2.5% (using a single markup) on the 1000 ppi RS&A database against 250,000 rolled prints in the reference database. |
Year | DOI | Venue |
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2015 | 10.1109/ICB.2015.7139062 | Biometrics |
Keywords | Field | DocType |
fingerprint identification,image matching,AFIS,ELFT-EFS public challenge database,NIST SD27,RS&A database,automated fingerprint identification system,automatic latent fingerprint matching,crowd powered latent fingerprint identification,examiner markups,latent examiner mark features,rank-1 identification accuracy,synergistic crowd powered latent identification framework | Hit rate,Automated fingerprint identification,Pattern recognition,Computer science,Crowdsourcing,Fingerprint recognition,Fingerprint,Feature extraction,NIST,Artificial intelligence,Markup language | Conference |
ISSN | Citations | PageRank |
2376-4201 | 1 | 0.36 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sunpreet S. Arora | 1 | 54 | 6.20 |
Kai Cao | 2 | 207 | 18.68 |
Anil Jain | 3 | 33507 | 3334.84 |
Gregoire Michaud | 4 | 1 | 0.36 |