Title :
Ear based attendance monitoring system
Author :
Jawale, Jitendra B. ; Bhalchandra, Anjali S.
Author_Institution :
E&TC DEPT., Army Inst. Of Technol., Pune, India
Abstract :
Ear is a new class of relative stable biometrics that is invarent from childhood to early old age. It is not affected with facial expression, cosmetics and eye glasses. Now a days biometric systems play a significant role in almost all the security aspects. As it uses human traits for the identification purpose which cannot be stolen or lost, they are proving to be a better solution than pins and passwords. Automating identification through biometrics especially face and iris recognition have been extensively studied in machine vision An alternative to this is ear biometrics. It has been seen that finding two ears which are completely identical is almost impossible and ear does not change much with time, Moreover, ear satisfies all the properties that should be possessed by a biometric.
Keywords :
biometrics (access control); computerised monitoring; edge detection; feature extraction; attendance monitoring system; ear biometrics; face recognition; human identification purpose; iris recognition; machine vision; Databases; Ear; Face; Feature extraction; Image edge detection; Iris recognition; Ear biometrics; MICROSOFT ACCESS; ODBC; database Visual Query Builder (VQB); feature vectors;
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
DOI :
10.1109/ICETECT.2011.5760212