CASIA OpenIR  > 09年以前成果
Fingerprint classification based on statistical features and singular point information
Han, Z; Liu, CP; Li, SZ; Sun, Z; Tan, T; Pankanti, S; Chollet, G; Zhang, D
2005
发表期刊ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
卷号3781页码:119-126
文章类型Article
摘要Automatic fingerprint classification is an effective means to increase the matching speed of an Automatic Fingerprint Identification System with a large-scale fingerprint database. In this paper, an automatic fingerprint classification method is proposed to classify the fingerprint image into one of five classes: Arch, Left loop, Right Loop, Whorl and Tented Arch. First, the information of core points, which is detected with a two-stage method, is applied to determine the reference point in fingerprint image. Then three different features based on statistical properties of small image blocks, which are likely to degrade with image quality deterioration, are calculated from the region of interest and form a 300-dimension feature vector. The feature vector is inputted into a three-layer Back Propagation Network (BPN) classifier and a 5-dimension vector is outputted, each dimension of which corresponds to one of 5 fingerprint classes. Finally, the fingerprints are classified with integrate analysis of the BPN classifier output and singular point information. The accuracy of 93.23% with no rejection is achieved on NIST-4 database and experimental results show that the proposed method is feasible and reliable for fingerprint classification.
WOS标题词Science & Technology ; Technology
关键词[WOS]FAST FOURIER-TRANSFORM ; NEURAL NETWORKS ; MODEL
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science ; Imaging Science & Photographic Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号WOS:000233430300015
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9101
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Han, Z,Liu, CP,Li, SZ,et al. Fingerprint classification based on statistical features and singular point information[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2005,3781:119-126.
APA Han, Z.,Liu, CP.,Li, SZ.,Sun, Z.,Tan, T.,...&Zhang, D.(2005).Fingerprint classification based on statistical features and singular point information.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3781,119-126.
MLA Han, Z,et al."Fingerprint classification based on statistical features and singular point information".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3781(2005):119-126.
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