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A FINGERPRINT REMOVAL METHOD BASED ON FRACTAL-CRIMINISI TECHNOLOGY  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:A FINGERPRINT REMOVAL METHOD BASED ON FRACTAL-CRIMINISI TECHNOLOGY

作者:Li, Zun[1];Chen, Aimin[2];Miao, Tongjun[1]

第一作者:李尊

通讯作者:Miao, TJ[1]

机构:[1]Xinxiang Univ, Coll Phys & Elect Engn, Xinxiang 453003, Henan, Peoples R China;[2]Xinxiang Univ, Coll Chem & Chem Engn, Xinxiang 453003, Henan, Peoples R China

第一机构:新乡学院物理与电子工程学院

通讯机构:[1]corresponding author), Xinxiang Univ, Coll Phys & Elect Engn, Xinxiang 453003, Henan, Peoples R China.|[110717]新乡学院物理与电子工程学院;[11071]新乡学院;

年份:0

外文期刊名:FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

收录:;EI(收录号:20223212543527);Scopus(收录号:2-s2.0-85135386837);WOS:【SCI-EXPANDED(收录号:WOS:000848642600006)】;

基金:This work was supported by the Natural Science Foundation of Henan Province, China (Grant No. 222300420512), National Natural Science Foundations of China (through Grant Nos. U1704132 and 41972270), and the ninth group of key disciplines in Henan province (Grant No. 2018119).

语种:英文

外文关键词:Fingerprint Removal; Criminisi Method; Box-Counting Fractal Dimension; Adaptive Priority

摘要:Against the circumstance of redundant fingerprint information remaining in photographed images due to lens contamination, a fingerprint removal method is proposed by combining fractal technology and the Criminisi method. Fingerprints on an image are usually distributed in a dispersive pattern, and show statistical fractal characteristic. Therefore, based on the Criminisi method, the textural complexity of image pixel blocks expressed by box-counting fractal dimension is introduced into this method as a parameter of pixel block size and subitem of the data item with priority. On the one hand, this way of operation can select the size of the pixel blocks to be removed adaptive to the box fractal dimension; on the other hand, the box fractal dimension, as the subitem of the data item with priority, can avoid the effect of particular value and improve the reliability and stability of priority. The experimental results show that the proposed method can satisfactorily perform the fingerprint removal task and fill the information.

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