Fingerprint compression: An adaptive and fast DCT-based approach

Yu Lin Wang, Chia Te Liao, Alvin W.Y. Su, Shang Hong Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Fingerprints have been used to accurately identify people since the nineteenth century. However, as more and more persons included into the repository, the size of database grows explosively. Storing the high-quality fingerprint images in low bit-rate thus becomes necessary. In this paper, a novel DCT-based coder is developed for fingerprint compression by using the specific energy distributions of fingerprint patterns. An adaptive scheme, which utilizes spatial-oriented tree (SOT) construction on the transformed image blocks, is proposed to improve the compression process. Consequently, the proposed coding scheme yields the enhancement of 0.5 to 2.5 dB over WSQ, SPIHT and JPEG2000 for fingerprint patterns at the same compression ratio. The computation complexity of this method is O(n).

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages3109-3112
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010 Sep 262010 Sep 29

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10-09-2610-09-29

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Wang, Y. L., Liao, C. T., Su, A. W. Y., & Lai, S. H. (2010). Fingerprint compression: An adaptive and fast DCT-based approach. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 3109-3112). [5654009] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5654009