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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jawale, J.B. Bhalchandra, A.S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Army Institute Of Technology, [E&TC DEPT.], Pune, Maharastra, India (Jawale, J.B.) || Govt. College of Engineering, [HOD, E&TC.], Aurangabad, Maharastra, India (Bhalchandra, A.S.) |
| 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 |
| Starting Page | 724 |
| Ending Page | 727 |
| File Size | 1272148 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479238 |
| e-ISBN | 9781424479269 |
| DOI | 10.1109/ICETECT.2011.5760212 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-23 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | ODBC Databases Feature vectors Image edge detection Ear MICROSOFT ACCESS Feature extraction Database Visual Query Builder (VQB) Face Ear biometrics Iris recognition |
| Content Type | Text |
| Resource Type | Article |
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