An Effective Method for Fingerprint Classification
學年 97
學期 2
出版(發表)日期 2009-06-01
作品名稱 An Effective Method for Fingerprint Classification
作品名稱(其他語言)
著者 謝景棠; Hsieh, Ching-tang; Shyu, Shys-rong; Hung, Kuo-ming
單位 淡江大學電機工程學系
出版者 淡江大學
著錄名稱、卷期、頁數 淡江理工學刊 = Tamkang Journal of Science and Engineering 12(2), pp.169-182
摘要 In this paper, we present a fast and precise method for fingerprint classification. The proposed method directly extracts the directional information from the thinned image of the fingerprint.We use an octagon mask to search the center point of the region of interest and consider both the direction information and the singular points in the region of interest to classify the fingerprints. In the system, not only is the amount of computation reduced but also can the extracted information be used for identification on AFIS. The system has been tested all 4000 fingerprint images on the NIST special fingerprint database 4. The classification accuracy reaches 93.425% with no rejection for 4-class classification problem.
關鍵字 Biometrics ; Fingerprint Classification;Wavelets;Poincare Index;Singular Point Detection
語言 en
ISSN 1560-6686
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50562 )

機構典藏連結