On latent fingerprint minutiae extraction using stacked denoising sparse AutoEncoders

IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics

Volumn , Issue , 2014, Pages

  Sankaran, Anush ^a   Pandey, Prateekshit ^a   Vatsa, Mayank ^a   Singh, Richa ^a  

^a INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; LEARNING SYSTEMS; PATTERN MATCHING;

AUTOMATED FEATURES; BACKGROUND NOISE; BINARY CLASSIFICATION PROBLEMS; CRIMINAL INVESTIGATION; HUMAN INTERVENTION; LATENT FINGERPRINT; MINUTIAE DETECTION; MINUTIAE EXTRACTION;

PALMPRINT RECOGNITION;

EID: 84921751844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2014.6996300     Document Type: Conference Paper

References (23)

1. CASIA-Fingerprint V5. Chinese Academy of Sciences Institute of Automation (CASIA) Fingerprint Image Database Version 5.0
2. NBIS (NIST Biometric Image Software). Developed by NIST, http:/www.nist.gov/itl/iad/ig/nbis.cfm
3. VeriFinger by NeuroTechnology. www.neurotechnology.com/verifinger.html
4. FBI, Next Generation Identification. http:/www.fbi.gov/aboutus/ cjis/fingerprints biometrics/ngi, 2008
5. Fingerprint minutiae from latent and matching tenprint images. NIST Special Database 27, 2010
6. Fingerprint minutiae from latent and matching tenprint images. NIST Special Database 4, 2010
7. NIST 8-bit gray scale images of Fingerprint Image Groups (FIGS). NIST Special Database 14, 2010
8. Y. Bengio, A. Courville, and P. Vincent. Representation learning: A review and new perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798-1828, 2013
9. K. Cao, E. Liu, and A. Jain. Segmentation and enhancement of latent fingerprints: A coarse to fine ridge structure dictionary. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2014, doi: 10.1109/TPAMI.2014.2302450
10. R. Cappelli, M. Ferrara, and D. Maltoni. Minutia Cylinder-Code: A new representation and matching technique for fingerprint recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12):2128 -2141, 2010
11. M.-P. Dubuisson and A. K. Jain. A modified hausdorff distance for object matching. In IAPR International Conference on Pattern Recognition, volume 1, pages 566-568, 1994
12. A. Jain and J. Feng. Latent fingerprint matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):88-100, 2011
13. X. Jia, X. Yang, Y. Zang, N. Zhang, and J. Tian. A crossdevice matching fingerprint database from multi-Type sensors. In International Conference on Pattern Recognition, pages 3001-3004, 2012
14. D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar. Handbook of Fingerprint Recognition, 2nd edition. Springer-Verlag, 2009
15. J. Ortega-Garcia, J. Fierrez-Aguilar, D. Simon, J. Gonzalez, M. Faundez-Zanuy, V. Espinosa, A. Satue, I. Hernaez, J.-J. Igarza, C. Vivaracho, D. Escudero, and Q.-I. Moro. Mcyt baseline corpus: a bimodal biometric database. IEE Proceedings on Vision, Image and Signal Processing, 150(6):395-401, 2003
16. A. A. Paulino, J. Feng, and A. K. Jain. Latent fingerprint matching using descriptor-based hough transform. IEEE Transactions on Information Forensics and Security, 8(1):31 -45, 2013
17. A. Sankaran, T. I. Dhamecha, M. Vatsa, and R. Singh. On matching latent to latent fingerprints. In International Joint Conference on Biometrics, pages 1-6, 2011
18. A. Sankaran, M. Vatsa, and R. Singh. Automated clarity and quality assessment for latent fingerprints. In IEEE International Conference on Biometrics: Theory, Applications and Systems, pages 1-6, 2013
19. M. Vatsa, R. Singh, A. Noore, and K. Morris. Simultaneous latent fingerprint recognition. Applied Soft Computing, 11(7):4260-4266, 2011
20. M. Vatsa, R. Singh, A. Noore, and S. Singh. Quality induced fingerprint identification using extended feature set. In IEEE International Conference on Biometrics: Theory, Applications and Systems, pages 1-6, 2008
21. M. Vatsa, R. Singh, A. Noore, and S. K. Singh. Combining pores and ridges with minutiae for improved fingerprint verification. Signal Processing, 89(12):2676-2685, 2009
22. P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research, 11:3371-3408, 2010
23. H. Xu, R. Veldhuis, A. M. Bazen, T. A. Kevenaar, T. A. Akkermans, and B. Gokberk. Fingerprint verification using spectral minutiae representations. Information Forensics and Security, IEEE Transactions on, 4(3):397-409, 2009