Quality-Assured Fingerprint Image Enhancement and Extraction using Hyperspectral Imaging

4th International Conference on Imaging for Crime Detection and Prevention 2011, ICDP 2011

Volumn , Issue , 2011, Pages

  Gill, Kevin ^a   Ren, Jinchang ^a   Marshall, Stephen ^a   Karthick, Suvitha ^b   Gilchrist, John ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b Gilden Photonics Ltd   (United Kingdom)

Author keywords

Fingerprint quality index; Hyperspectral imaging; Image enhancement; Quality assured fingerprint extraction

Indexed keywords

EXTRACTION; FORENSIC SCIENCE; HYPERSPECTRAL IMAGING; INFRARED DEVICES; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; REMOTE SENSING; SPECTROSCOPY; SPECTRUM ANALYSIS;

EMERGING TECHNOLOGIES; FINGERPRINT EXTRACTIONS; FINGERPRINT IMAGE ENHANCEMENT; FINGERPRINT QUALITIES; FINGERPRINT QUALITY INDEX; HYPERSPECTRAL; IMAGE EXTRACTION; PRINCIPAL-COMPONENT ANALYSIS; QUALITY INDICES; QUALITY-ASSURED FINGERPRINT EXTRACTION;

IMAGE ENHANCEMENT;

EID: 84962586659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. D. C. Kellicut, J. M. Weiswasser, S. Arora, et al., "Emerging technology: hyperspectral imaging," Perspectives in Vascular Surgery and Endovascular Therapy, vol. 16, pp. 53-57, 2004.
2. A.A. Gowena, CP. O'Donnella, P.J. Cullenb, G. Downeyc, J.M. Frias, "Hyperspectral imaging - an emerging process analytical tool for food quality and safety control," Trends in Food Science and Technology, vol. 17, pp. 590-598, 2007.
3. Y. Zhao, L. Zhang and S. Kong, "Band-subset-based clustering and fusion for hyperspectral imagery classification," IEEE Trans Geoscience and Remote Sensing, 49(2): 747-756, 2011
4. H. C. Lee and R. E. Gaensslen, Advances In Fingerprint Technology (Forensic and Police Science), 2nd Edition, CRC Press LLC, 2001. pp. 64-80.
5. Peter R. De Forest, R.E. Gaensslen, Henry C.Lee. Forensic Science: An Introduction to Criminalistics. s.l.: McGraw Hill, 1983. p. 342.
6. John R. Gilchrist, Gilden Photonics Ltd and Timo Hyvärinen, Spectral Imaging Ltd. Hyperspectral Imaging Spectroscopy: A Look at Real-Life Applications. Photonics.com. [Online] 2006.
7. Grietens, Bob. Microscopy Imaging: Hyperspectral microscope benefits from InGaAs imaging array. OptoIQ. [Online] 1 August 2008.
8. Nedley, Sara. Why Hyperspectral Imaging is a Powerful Tool in Forensic Evidence Examination. Forensic Technology Review. 2010.
9. Paul Shnitser, Ph.D. Automatic Hyperspectral Camera for Latent Fingerprint Detection. Applied Technology Division, Physical Optics Corporation. s.l.: US Department of Energy, 1999.
10. E. Bartick, R. Schwartz, R. Bhargava, M. Schaeberle, D. Fernandez and I. Levin. Spectrochemical Analysis and Hyperspectral Imaging of Latent Fingerprints. 2002.
11. E. Tabassi, C. L. Wilson, C. I. Watson, "Fingerprint image quality," Research Report NISTIR7151, National Institute of Standards and Technology, 2004
12. F. Alonso-fernandez, J. Fierrez, J. Ortega-Garcia, et al, "A comparative study of fingerprint image-quality estimation methods," IEEE Trans. Information Forensics and Security, vol. 2, no. 4, pp. 734-743, Dec. 2007
13. Y. Chen, S. Dass and A. Jain, "Fingerprint Quality Indices for Predicting Authentication Performance, " In Proc. AVBPA, pp.160-170, Springer, 2005