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A Study of Latent Fingerprint Matching Approaches

IJCA Proceedings on National Conference on Emerging Trends in Information Technology
© 2014 by IJCA Journal
NCETIT - Number 1
Year of Publication: 2014
Ganesh Chaudhari
R. B. Wagh

Ganesh Chaudhari and R B Wagh. Article: A Study of Latent Fingerprint Matching Approaches. IJCA Proceedings on National Conference on Emerging Trends in Information Technology NCETIT(1):14-17, December 2014. Full text available. BibTeX

	author = {Ganesh Chaudhari and R. B. Wagh},
	title = {Article: A Study of Latent Fingerprint Matching Approaches},
	journal = {IJCA Proceedings on National Conference on Emerging Trends in Information Technology},
	year = {2014},
	volume = {NCETIT},
	number = {1},
	pages = {14-17},
	month = {December},
	note = {Full text available}


Fingerprint based identification is one of the most mature and proven technique compare to the all biometric technique. In crime sense fingerprints have been extensively used for identification of criminals. Fingerprints are classified as rolled, plain and latent fingerprints. Latent fingerprints are lifted from surface of objects that are unintentionally touched by person. Latent means poor quality of images or unclear image i. e. smudgy, blurred, moist, small area or fingerprints that contains fewer amount of minutiae. Matching latent fingerprints over rolled or plain fingerprints that is difficult task. Therefore, it is necessary to extract all fingerprint features that are present in latent fingerprint images for accurate matching. Although tremendous progress has been made AFIS (Auto-mated Fingerprint Identification System), this system works well only in that case where rolled and plain fingerprint images. There-fore, semi-automatic system is feasible for feature extraction of la-tent images i. e. some human intervention is allowed during feature extraction from latent fingerprint images. Before feature ex-traction performed it is necessary to improve the quality of la-tent image because they are lifted from any surface and it is easy to extract features from improved quality of latent images. Then outputs candidates are matched over rolled fingerprint images by using fully automatic system. This paper presents study of various techniques that are useful for latent fingerprint matching.


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