Improving the fingerprint verification performance of set partitioning coders at low bit rates
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-016-3590-0/fulltext.html
Reference45 articles.
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2. Anurakphanawan N, Lamsrichan P (2015) “Fingerprint recognition performance with WSQ, CAWDR, and JPEG2000 compression”. 6th Int Conf Inform Commun Technol Embedded Syst (IC-ICTES) 1–6
3. Beleznai C, Ramoser H, Wachmann B, Birchbauer J, Bischof H, Kropatsch W (2001) Memory-efficient fingerprint verification. Proc IEEE Int Conf Image Process (ICIP’01) 2:463–466, Thessaloniki, Greece
4. Bradley JN, Brislawn CM, Hopper T (1993) “The FBI Wavelet/Scalar Quantization standard for gray-scale fingerprint image compression”. SPIE Proc, Visual Inform Process II 293–304, (Orlando, FL, USA)
5. Cappelli R, Maio D, Maltoni D (2002) “Synthetic fingerprint-database generation”. Proc 16th ICPR
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1. Extremely High Compression and Identification of Fingerprint Images Using SA4 Multiwavelet Transform;International Journal of Image and Graphics;2021-01-21
2. Efficient Low Bit Rate Image Coder for Fingerprint Image Compression;J INF SCI ENG;2018
3. Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information;Journal of Electronic Imaging;2018-10-13
4. Extreme compression of fingerprint image databases using the model-based transform;Signal, Image and Video Processing;2017-05-30
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