Title :
2D human-ear recognition using geometric features
Author :
Polin, Md Zahid Hasan ; Kabir, A. N. M. Enamul ; Sadi, Muhammad Sheikh
Author_Institution :
Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
Abstract :
Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioural traits. Finding good biometric features and recognition methods has been researched extensively in recent years. Among several biometric features ear is quite stable because it does not vary with age and emotion. However, very few researches have been accomplished with this biometric. Hence, this paper proposes a new approach to recognize 2d human ear based on height of ear, reference line cut point and corresponding angles. Experimental study shows that this paper has a greater accuracy then existing dominant approach.
Keywords :
biometrics (access control); feature extraction; image recognition; 2D human ear recognition; biometric feature; biometric recognition method; ear height; geometric feature; Biometrics (access control); Ear; Face; Feature extraction; Image edge detection; Support vector machine classification; Vectors; Biometrics; Ear Recognition; Ear height line; Reference line;
Conference_Titel :
Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1434-3
DOI :
10.1109/ICECE.2012.6471471