A novel measure of fingerprint image quality using Principal Component Analysis(PCA)

	A novel measure of fingerprint image quality using Principal Component Analysis(PCA)
	Xunqiang, Tao; Xin, Yang; Yali, Zang; Xiaofei, Jia; Jie, Tian
	2012
会议名称	ICB2012
会议录名称	International Conference on Biometrics (ICB)
页码	170 - 175
会议日期	2012
会议地点	New Delhi, India
摘要	The performance of automatic fingerprint identification system relies heavily on the quality of the fingerprint images. Poor quality images result in missing or spurious features, thus degrading the performance of the identification system. Therefore, it is important for a fingerprint identifi- cation system to estimate the quality of the captured fingerprint images. In this paper, a new method based on Principal Component Analysis (PCA) is proposed for fingerprint quality measure. PCA is a common and useful statistical technique for finding patterns in data of high dimension. It can be found that fingerprint patches in a local neighborhood form a simple and regular circular manifold topology in a high-dimensional space. The characterization of manifold topology represents the local properties of the fingerprint. In our method, we first extract two novel features from the expected manifold topology. Then a local block measure of quality is generated according to these two features using multiplication rules. Finally, incorporating the normalized Harris-corner strength (HCS) as weighted value into local block quality measure, we obtain a global quality of a fingerprint image. The proposed method has been evaluated on the databases of fingerprint verification competition 2004DB1 (FVC2004) and our private database(AES2501). The experimental results confirm that the proposed algorithm is simple and effective for fingerprint image quality measure.
关键词	Fingerprint Image Principal Component Analysis(Pca)
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5498
专题	中国科学院分子影像重点实验室
通讯作者	Jie, Tian
作者单位	Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Xunqiang, Tao,Xin, Yang,Yali, Zang,et al. A novel measure of fingerprint image quality using Principal Component Analysis(PCA)[C],2012:170 - 175.

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