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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Probabilistic PCA Human Ear Recognition System |
| Authors Name: | Diksha Kumari , Satnam Singh , Bhanu Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_180756
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| Published Paper Id: | IJRTI1903019 |
| Published In: | Volume 4 Issue 3, March-2019 |
| DOI: | |
| Abstract: | The human ear is a perfect source of data for passive person identification in many applications. In a growing need for security in various public places, ear biometrics seems to be a good solution, since ears are visible and their images can be easily taken, even without the examined person’s knowledge. Human ears have been used as major feature in forensic science for many years (for example in airplane crashes). Ear prints, found on the crime scene, have been used as a proof in over few hundred cases in the Europe and the United States. Nowadays, police and forensic specialists use ear prints as a standard proof of identity. There are many advantages of using the ear as a source of data for human identification. Firstly, the ear is one of the most stable human anatomical features. It does not change considerably during human life. Furthermore, the ear is one of our sensors, therefore it is usually visible (not hidden underneath anything) to enable good hearing. Reliability in personal authentication is a key to the stringent security requirements in many application domains ranging from airport surveillance to electronic banking. Many physiological characteristics of humans, i.e., biometrics, are typically invariant over time, easy to acquire, and unique to each individual. The first step of ear recognition is the segmentation of ear image from the profile face. Ear images taken at different time can vary significantly due to changes in hair length and color. Due to this variation many false point matches may occur and this reduce the accuracy of image distance measurement significantly. The proposed system is to be developed in MATLAB and tested on a available Human Ear Database. |
| Keywords: | Ear Recognition, CPD, Probabilistic PCA, MATLAB. |
| Cite Article: | "Probabilistic PCA Human Ear Recognition System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 3, page no.79 - 83, March-2019, Available :http://www.ijrti.org/papers/IJRTI1903019.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1903019
Registration ID:180756
Published In: Volume 4 Issue 3, March-2019
DOI (Digital Object Identifier):
Page No: 79 - 83 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1903019 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1903019 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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