Title :
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
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;
Conference_Titel :
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-5352-3
DOI :
10.1109/SPAC.2014.6982697