DocumentCode :
582967
Title :
Palmprint Matching Using LBP
Author :
Promila ; Laxmi, V.
Author_Institution :
Dept. of Comput. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
fYear :
2012
fDate :
14-15 Sept. 2012
Firstpage :
110
Lastpage :
115
Abstract :
Automatic person verification has become a crucial problem in networked society. Providing authorized access to a person is a challenging task. To resolve all these issues, biometrics has emerged as an important and effective solution. Although many biometrics have been proposed, public acceptability and privacy concerns remain a block to implementation in public services. Another concern is computational overhead in real-time scenario. This paper discusses a new method and its related analysis that based on palm print verification using local binary pattern (LBP) to capture the palm print texture. Experimental results demonstrate that this technique is simple, highly accurate and takes less time to process the palm print image.
Keywords :
data privacy; image matching; palmprint recognition; statistical analysis; Chi-square dissimilarity test; LBP; Pearson correlation similarity test; automatic person verification; biometrics; local binary pattern; networked society; palm print image; palm print texture; palm print verification; palmprint matching; privacy concerns; public acceptability; real-time scenario; Accuracy; Biometrics (access control); Correlation; Databases; Error analysis; Feature extraction; Histograms; Chi-squared test; Classification; Local Binary Pattern; Palmprint; Pearson´s correlation test;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Sciences (ICCS), 2012 International Conference on
Conference_Location :
Phagwara
Print_ISBN :
978-1-4673-2647-6
Type :
conf
DOI :
10.1109/ICCS.2012.55
Filename :
6391656
Link To Document :
بازگشت