Dollar bill denomination recognition algorithm based on local texture feature

Author

Xinge You ; Qingjiang Hu ; Duanquan Xu ; Xiangxu Fu ; Qixin Sun

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2014

fDate

18-19 Oct. 2014

Firstpage

269

Lastpage

272

Abstract

In this paper, a dollar bill denomination recognition algorithm based on local texture feature is proposed. this paper proposes a local texture feature dollar denomination recognition algorithm, this algorithm first use the between-cluster variance method about the dollar´s local image binarization to enhance the effect of differences, and then through the cross algorithm to extract the local texture feature, which makes the recognition work correctly. The simulation results show that the method is fast, high precision, suitable for real-time face recognition.

Keywords

face recognition; feature extraction; image enhancement; image texture; between-cluster variance method; cross algorithm; difference effect enhancement; dollar local image binarization; local texture feature dollar bill denomination recognition algorithm; local texture feature extraction; real-time face recognition; Clustering algorithms; Decision support systems; Face recognition; Feature extraction; Image recognition; Sun; Dollar denominations recognition; crossing algorithm; local texture extraction; otsu method;

fLanguage

English

Publisher

ieee

Conference_Titel

Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4799-5352-3

Type

conf

DOI

10.1109/SPAC.2014.6982697

Filename

6982697