Ear based biometric recognition has been gaining popularity in recent years because the ear is unique to individuals and generally unaffected by changing pattern over aging. This paper aims to propose a robust and efficient ear biometric recognition scheme using local features of the human ear employing a neural network algorithm. The scheme initially estimates the ear region from the facial image and then extracts the edge features from the detected ear. We use edge local features since they are invariant to illumination changes and occlusion. A neural network is used to recognize the user by matching the extracted ear features of the user with a feature database. The performance of the approach is tested with different datasets and compared with some existing well known methods. Experimental evaluation clearly proves the robustness and effectiveness of the proposed scheme over similar techniques.
|Title of host publication||Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)|
|Place of Publication||United States|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Number of pages||5|
|Publication status||Published - 08 Feb 2018|
|Event||2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Royal Angkor Resort & Spa, Siem Riep, Cambodia|
Duration: 18 Jun 2017 → 20 Jun 2017
http://www.ieeeiciea.org/2017/?utm_source=researchbib (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8272105 (Conference proceedings)
|Conference||2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)|
|Period||18/06/17 → 20/06/17|
|Other|| The 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017) will be held during 18 - 20 June 2017, in Siem Reap, Cambodia. The Conference is organized by IEEE Industrial Electronics Chapter of Singapore and IEEE Singapore Section. IEEE Industrial Electronics Society is the financial and technical sponsor The proceedings of past ICIEA have all been included in the IEEE Xplore database and indexed by EI Compendex and ISI Proceedings. |
ICIEA 2017 marks the 12th Anniversary of the ICIEA conferences. As a premier conference, ICIEA provides an excellent forum for scientists, researchers, engineers and industrial practitioners throughout the world to present and discuss the latest technology advancement as well as future directions and trends in Industrial Electronics.