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
Source PublicationADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
2005
Volume3781Pages:119-126
SubtypeArticle
AbstractAutomatic 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 HeadingsScience & Technology ; Technology
WOS KeywordFAST FOURIER-TRANSFORM ; NEURAL NETWORKS ; MODEL
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS IDWOS:000233430300015
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9101
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
Recommended Citation
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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