The Potential of Using Brain Images for Authentication
Biometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological or behavioral traits. Examples of biometric traits include fingerprint, palmprint, iris, and face. The brain is the most important and complex organ in the human body. Can it...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/749096 |
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| _version_ | 1832551804269756416 |
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| author | Fanglin Chen Zongtan Zhou Hui Shen Dewen Hu |
| author_facet | Fanglin Chen Zongtan Zhou Hui Shen Dewen Hu |
| author_sort | Fanglin Chen |
| collection | DOAJ |
| description | Biometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological or behavioral traits. Examples of biometric traits include fingerprint, palmprint, iris, and face. The brain is the most important and complex organ in the human body. Can it be used as a biometric trait? In this study, we analyze the uniqueness of the brain and try to use the brain for identity authentication. The proposed brain-based verification system operates in two stages: gray matter extraction and gray matter matching. A modified brain segmentation algorithm is implemented for extracting gray matter from an input brain image. Then, an alignment-based matching algorithm is developed for brain matching. Experimental results on two data sets show that the proposed brain recognition system meets the high accuracy requirement of identity authentication. Though currently the acquisition of the brain is still time consuming and expensive, brain images are highly unique and have the potential possibility for authentication in view of pattern recognition. |
| format | Article |
| id | doaj-art-5aec1cbdd3974f31bac5ff2d9d8abde1 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-5aec1cbdd3974f31bac5ff2d9d8abde12025-02-03T06:00:29ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/749096749096The Potential of Using Brain Images for AuthenticationFanglin Chen0Zongtan Zhou1Hui Shen2Dewen Hu3Department of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, ChinaDepartment of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, ChinaDepartment of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, ChinaDepartment of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, ChinaBiometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological or behavioral traits. Examples of biometric traits include fingerprint, palmprint, iris, and face. The brain is the most important and complex organ in the human body. Can it be used as a biometric trait? In this study, we analyze the uniqueness of the brain and try to use the brain for identity authentication. The proposed brain-based verification system operates in two stages: gray matter extraction and gray matter matching. A modified brain segmentation algorithm is implemented for extracting gray matter from an input brain image. Then, an alignment-based matching algorithm is developed for brain matching. Experimental results on two data sets show that the proposed brain recognition system meets the high accuracy requirement of identity authentication. Though currently the acquisition of the brain is still time consuming and expensive, brain images are highly unique and have the potential possibility for authentication in view of pattern recognition.http://dx.doi.org/10.1155/2014/749096 |
| spellingShingle | Fanglin Chen Zongtan Zhou Hui Shen Dewen Hu The Potential of Using Brain Images for Authentication The Scientific World Journal |
| title | The Potential of Using Brain Images for Authentication |
| title_full | The Potential of Using Brain Images for Authentication |
| title_fullStr | The Potential of Using Brain Images for Authentication |
| title_full_unstemmed | The Potential of Using Brain Images for Authentication |
| title_short | The Potential of Using Brain Images for Authentication |
| title_sort | potential of using brain images for authentication |
| url | http://dx.doi.org/10.1155/2014/749096 |
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