title: The potential of using brain images for authentication.
abstract: 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.
authors.affiliation: Department of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Fanglin
authors.identifier: 0000-0002-9193-5412
authors.initials: F
authors.lastname: Chen
authors.affiliation: Department of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Zongtan
authors.initials: Z
authors.lastname: Zhou
authors.affiliation: Department of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Shen
authors.affiliation: Department of Automatic Control, College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Dewen
authors.initials: D
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D056667:Biometric Identification / Q000379:methods* / Q000639:trends*; D066128:Gray Matter / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D059906:Neuroimaging / Q000379:methods* / Q000639:trends*