International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Biometric Ear Recognition System Neha Kuduk1, Akshada Hinge2, Kirti Kshirsagar3 1Neha
Kuduk , Akurdi Hinge , Akurdi 3Kirti Kshirsagar , Akurdi 2Akshada
Guided by : Prof. AshokKumar Kalal , Dept. Computer Engineering, Alard College, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Iannarelli. Identification by ear biometrics is promising ABSTRACT – Biometric authentication using ear image is because it is traceable like face recognition, but instead new research technique. Multiple unique features of human are explored but not many are used. This project focuses on of the problems to extract face biometrics, it uses one such area, that is Authentication using picture of image. robust and simply extracted biometrics like those in If sign up user will facilitate userid, password, email address. finger printing. The ear is a unique feature of human Also user will register his ear image using HD camera. In this beings. In this paper, described a system that tracks application, user will be authenticated, using user id, and detects ear features simply and robustly. First of password and ear image clicked from camera. In first step, all, appropriate threshold value is identified and then user who log in will be authenticated based on user id and ear boundary is recognized. After that edge linking is password. User will capture his ear Image it will be complete. Data taken from the ear image is compared converted to 3Dimensional and this captured image will be with the database. Ear detection algorithm is quite saved in drive. In 2nd step, user will provide his ear image simple and, hence, has low computation complexity using HD camera, and authentication will be done by matching real time ear image with ear image stored while and can be applied in many real-time applications. sign-up.
2.2 An evaluation of face and ear biometrics :
Keywords: morphological operation, template matching algorithm. 1. INTRODUCTION - Biometric authentication using ear image is new research technique. Multiple unique features of human are explored but not many are used. This project focuses on one such area that is Authentication using ear image. While sign up, user will facilitate user id, password, email address. Also user will register his ear image using High Definition camera. In this application, user will be authenticated, using user name, password and ear image which is captured from camera. In 1st step of log in, user will be authenticated based on user name and password. User will capture his ear Image, it will be transformed to 3Dimensional and this image will be saved in drive. In 2nd step of user will provide his ear image using High Definition camera, and authentication will be done by matching real time ear image with the stored ear image while sign-up.
2. LITERATURE SURVEY 2.1 Person Identification Using Ear Biometrics :
Checking contents from images is one of the most important work of vision systems. To this, the stability of tracking Systems greatly depends on the detection of targets. A different class of biometrics depend on ear characteristics there was launched for use in the construction of passive identification Systems by Alfred Š 2017, IRJET
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Impact Factor value: 5.181
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Face detetction depend on the features of component verification is not lightly researched subject in computer vision. The ear has been proposed as a biometric, with claimed advantages over the face. Here used the PCA approach to images of the face and ear with similar collection of subjects. Testing was done with three different gallery/probe combinations.For faces we have: Results indicate that the face provides a more reliable biometric than the ear. Performed initial experiments on the use of combined face and ear data and found that even a simple fusion technique yields improved performance over either the face or ear alone. 2.3 Image-based ear biometrics Smartphone App for patient identification in field Setting:
This paper present, a work in progress of a computer vision application that would directly impact the delivery of healthcare in underdeveloped countries. Describe the development of an image-based Smartphone application prototype for ear biometrics. The application prototype for ear biometrics. The application targets the public health problem of managing medical records at on-site medical hospitals in not more developed countries where most of the ISO 9001:2008 Certified Journal
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