Ear and Face Recognition System for Multilevel Authentication

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-48 Number-1
Year of Publication : 2017
Authors : Sumit U. Mali, Prof. A. S. Narote
DOI :  10.14445/22315381/IJETT-V48P207

Citation 

Sumit U. Mali, Prof. A. S. Narote "Ear and Face Recognition System for Multilevel Authentication", International Journal of Engineering Trends and Technology (IJETT), V48(1),35-38 June 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Multilevel authentication using Ear image is future technology in image processing. Many unique features of human are explored, but not many are used. This paper focuses on one such area that is authentication technique using Ear model and also provides the Face image recognition. The primary motivation of this system is to use the system for the high secure authentication using three dimensional Ear and Face Recognition. This paper tries to solve the problem of biometric authentication using Ear recognition along with Face and OTP (One Time Password). The algorithms that are used for this system are Haar-Cascade for Face and Ear detection, LBP (Local Binary Pattern) for Face Recognition and ORB (Oriented Fast and Rotated Brief) for Ear recognition. In this system, the user will be authenticated, using a username, password and Ear image as well as Face image which are captured from the HD (High Definition) camera, and the authentication technique will be done by matching real time Ear image and Face image with the stored Ear image and Face image while sign-up. This paper presents the technology that provides the multilevel security using Ear and Faces recognition. At the level of the result, it shows how it is impactable than other security systems.

 References

[1] Sayan Maity, and Mohamed Abdel-Mottaleb, „3D Ear Segmentation and Classification Through Indexing?, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 10, NO. 2, FEBRUARY 2015.
[2] Kiran B. Raja R. Raghavendra Martin Stokkenes Christoph Busch, „Multi-modal Authentication System for Smartphones Using Face, Iris and Periocular?, ICB 2015, 2015 IEEE, 978-1-4799-7824-3/15.
[3] BOUROUBA Houcine DOGHMANE Hakim, „Ear recognition based on Multi- bags-of-features Histogram,` ijir 2015.
[4] Lida Li, Lin Zhang_, Hongyu Li, „3D EAR IDENTIFICATION USING LC-KSVD AND LOCAL HISTOGRAMS OF SURFACE TYPES?, vol 6 springer 2014
[5] Vitomir Struc, Janez Kri zaj, Simon Dobri sek, „MODEST FACE RECOGNITION?, IEEE 2015.
[6] Kyong Chang, Kevin W. Bowyer, and Sudeep Sarkar, Barnabas Victor, „Comparison and Combination of Ear and Face Images In Appearance-Based Biometrics?, Ijirt vol 3 page no.3
[7] Akkas Ali, Mohammad. Mahfuzul Islam, „A Biometric Based: 3-D Ear Recognition System Combining Local and Holistic Features?, I.J.Modern Education and Computer Science, 2013, 11, 36-41 Published Online November 2013 in MECS.
[8] Asmaa Sabet Anwar, Kareem Kamal A.Ghany, Hesham Elmahdy, „Human Ear Recognition Using Geometrical Features Extraction?, International Conference on Communication, Management and Information Technology (ICCMIT 2015).
[9] Durgesh Singh*, Sanjay K. Singh, „A Survey on Human Ear Recognition System Based on 2D and 3D Ear Images?, OPEN JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, Volume 1, Number 2, September 2015.
[10] Vitomir Struc, Janez Kri zaj, Simon Dobri sek, „MODEST FACE RECOGNITION?, IEEE 2015.

Keywords
Face recognition, Ear Recognition, Authentication technique.