NDLI: Detection and segmentation of latent fingerprints

Content Provider	IEEE Xplore Digital Library
Author	Xiao Yang Jianjiang Feng Jie Zhou Shutao Xia
Copyright Year	2015
Description	Author affiliation: Dept. of Autom., Tsinghua Univ., Beijing, China (Jianjiang Feng; Jie Zhou) \|\| Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China (Xiao Yang; Shutao Xia)
Abstract	Latent fingerprints have been used by law enforcement agencies to identify suspects for a century. However, because of poor image quality and complex background noise, latent fingerprints are routinely identified relying on features manually marked by human experts in practice. A large number of latent fingerprints can not be treated in time due to lacking well trained experts, highlighting the need for “lights out” (fully-automatic) systems. In this paper, we propose a systematic algorithm for latent fingerprint detection, segmentation, and orientation field estimation, without any manual markup. Multiple potential latent fingerprints are detected using a sequential pose estimation algorithm. Then, the full orientation field and confidence map of each detected fingerprint are estimated based on localized dictionaries lookup. Finally, the boundary of each latent fingerprint is delineated by analyzing its confidence map. Experiments on a multi-latent fingerprint database and the challenging NIST SD27 latent fingerprint database show the effectiveness of the proposed algorithm.
Starting Page	1
Ending Page	6
File Size	5865745
Page Count	6
File Format	PDF
e-ISBN	9781467368025
DOI	10.1109/WIFS.2015.7368604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Image segmentation Dictionaries Databases Estimation Manuals Prediction algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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