IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: A Survey on Optimization based Ear Recognition system
Authors Name: Payal Verma , Prof. Sandeep Patil
Unique Id: IJSDR1706066
Published In: Volume 2 Issue 6, June-2017
Abstract: Biometric are automated methods of recognizing a person based on a physiological or behavioral characteristic. Most of the well known ear biometric techniques have focused on recognition on manually cropped ears and have not used automatic ear detection and segmentation. This is due to the fact that detection of ears from an arbitrary profile face image is a challenging problem as ear images may vary in scale and pose (due to in-plane and out-of-plane rotations) under various viewing conditions. However, for an efficient ear recognition system, it is desired to detect the ear from the profile face image in an automatic manner. There exist few techniques in the literature which can be used to detect ear auto-matically. A detailed review of these techniques is as follows. The first well known technique for ear detection is due to Burge and Burger [1]. It has detected ears with the help of deformable contours. But contour initialization in this technique needs user interaction. As a result, ear localization is not fully automatic. Hurley et al. [2] have used force field technique to get the ear location. The technique claims that it does not require exact ear localization for ear recognition. However, it is only applicable when a small background is present in ear image. In [3], Yan and Bowyer have used manual technique based on two-line landmark to detect ear where one line is taken along the border between the ear and the face while other line is considered from the top of the ear to the bottom. The 2D ear localization technique proposed by Alvarez et al. [4] uses ovoid and active contour (snake) [5] models. Ear boundary is estimated by fitting the contour of an ear in the image by combining snake and ovoid models. This technique requires an initial approximated ear contour to execute and hence cannot be used in fully automated ear recognition system. There is no empirical evaluation of the technique.
Keywords: Ear Recognition
Cite Article: "A Survey on Optimization based Ear Recognition system", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.436 - 443, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706066.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1706066
Registration ID:170357
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 436 - 443
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner