Earticle

초록

영어

Fingerprint-based recognition systems have been widely deployed in numerous civilian and government applications. However, the fingerprint recognition systems can be deceived by using an accurate imitation of a real fingerprint such as an artificially made fingerprint. In this paper, we propose a novel software-based fingerprint liveness detection algorithm based on gray level co-occurrence matrix (GLCM), from which we can calculate the texture features of fingerprint images and obtain satisfactory results. For the first time, we extract texture features by constructing four-direction GLCMs in an image, and then quantization operation and normalization operation are adopted. After these, we detected whether a fingerprint image belongs to a real fingerprint or an artificial replica of it. A trained RBF SVM (support vector machine) classifiers scheme is used to make the final live/spoof decision via training and testing feature vectors. The experimental results reveal that our proposed method can discriminate between live fingerprints and fake ones with high classification accuracy.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Feature Extraction
  3.1. Quantization
  3.2. Normalization
  3.3. Gray Level Co-Occurrence Matrixes
 4. Experiment
  4.1. Database and Validation Criterion
  4.2. Support Vector Machine
  4.3. Results
 5. Conclusion
 References

키워드

저자

• Chengsheng Yuan [ School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China / Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]
• Zhihua Xia [ School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China / Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]
• Xingming Sun [ School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China / Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]
• Decai Sun [ College of Information Science and Technology, Bohai University, Jinzhou, China ]
• Rui Lv [ School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China / Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605