The Experts below are selected from a list of 39 Experts worldwide ranked by ideXlab platform
Riki Mukhaiyar - One of the best experts on this subject based on the ideXlab platform.
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Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation
2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, 2019Co-Authors: Riki MukhaiyarAbstract:Distinguishing fingerprint feature, like minutia, from its originality could protect the restricted information adhered with the fingerprint from being recognized by outsiders. Displacing the minutiae from its place methodically transforms the fingerprint appearance into a camouflage look. This condition will deceive impostor from obtaining a correct fingerprint data. Implementing some matrix procedures into fingerprint matrix form would change each value contained in the fingerprint. This paper proposes a matrix Operation called Kronecker Product Operation (KPO) to manipulate the value of each pixel of the fingerprint feature. KPO agitates each pixel by expanding its value into ixj orde of each pixel. This elaboration transforms the original form of the fingerprint feature image into mxn time of its originality form. For instance, an original 3×3 image would alter into 6×12, 9×21, 15×3, or 24×18 image form depended on KP form used. These form will secure the basic feature information of the fingerprint. Moreover, the protection system is also provided by twirling the Row element of the fingerprint pixel by implementing a matrix Operation called as Elementary Row Operation (ERO). This procedure works in pixel procedure with some requirements i.e. exchanging Rows, multiplying, and zeroing a selected pixel Row. These requirements are implemented to distinguish the original feature information of the fingerprint so that any imposter could steal it. The result of this system is a robust fingerprint protection system that guarantees any fingerprint database users to have a secure fingerprint feature.
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Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements
Asian Social Science, 2018Co-Authors: Riki MukhaiyarAbstract:Cancellable fingerprint uses transformed or intentionally distorted biometric data instead of the original biometric data for identifying person. When a set of biometric data is found to be compromised, they can be discarded, and a new set of biometric data can be regenerated. This initial principal is identical with a non-invertible concept in matrices Operations. In matrix domain, a matrix cannot be transformed into its original form if it meets several requirements such as non-square form matrix, consist of one zero Row/column, and no Row as multiple of another Row. These conditions can be acquired by implementing three matrix Operations using Kronecker Product (KP) Operation, Elementary Row Operation (ERO), and Inverse Matrix (INV) Operation. KP is useful to produce a non-square form matrix, to enlarge the size of matrix, to distinguish and disguise the element of matrix by multiplying each of elements of the matrix with a particular matrix. ERO can be defined as multiplication and addition force to matrix Rows. INV is utilized to transform one matrix to another one with a different element or form as a reciprocal matrix of the original. These three matrix Operations should be implemented together in generating the cancellable feature to robust image. So, if once three conditions are met by imposter, it is impossible to find the original image of the fingerprint. The initial aim of these Operations is to camouflage the original look of the fingerprint feature into an abstract-look to deceive an un-authorized personal using the fingerprint irresponsibly. In this research, several fingerprint processing steps such as fingerprint pre-processing, core-point identification, region of interest, minutiae extration, etc; are determined to improve the quality of the cancellable feature. Three different databases i.e. FVC2002, FVC2004, and BRC are utilized in this work.
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Alternative approach in generating cancellable fingerprint by using matrices Operations
Proceedings ELMAR-2014, 2014Co-Authors: Riki Mukhaiyar, Satnam Singh DlayAbstract:A cancellable biometric system aims to revote a biometric feature of an authorized person when his biometric information is misused by improper. In this system, an established biometric image is transformed to a different feature to distinguish it from the original one. Moreover, this revocable system can regenerate a new transformed cancellable biometric feature if the previous transformed feature is known by someone. These basic concepts are similar with the idea of inverse matrix and Elementary Row Operation in matrices domain. Biometric image as a digital image definitely can be processed in matrices domain. It means that the image is able to be imposed by matrices Operations such as inverse matrix Operation, Elementary Row Operation, and Kronecker product Operation. In matrix, these Operations are used for several objectives whether inverting matrix elements, changing Rows or columns, or enlarging size of the matrix. On the other hand, the combination of these Operations even can produce a non-inversed matrix.
Jiang Jia-qing - One of the best experts on this subject based on the ideXlab platform.
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The Elementary Transformation Algorithm for the Inverse of Symmetric r-Cyclic Matrices
Jilin Normal University Journal, 2020Co-Authors: Jiang Jia-qingAbstract:First,give you the linear matrix equations of Symmetric r-Cyclic Matrices,then do the Elementary Row Operation to it's Augmented Matrices,to figure out it's Inverse matrix
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Solving the Inverse of r-circular Matrix by Elementary Operation
Journal of Hainan Normal University, 2020Co-Authors: Jiang Jia-qingAbstract:This paper explored the related set of linear equations of r-circular matrix,by giving its definition and good structure and then using the Elementary Row Operation of matrix to work out the solution of a set of linear equations-the inverse matrix ofr-circular matrix.The method is practical and convenient with no needs to calculate trigonometric func tion and small calculation amount.
Satnam Singh Dlay - One of the best experts on this subject based on the ideXlab platform.
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Alternative approach in generating cancellable fingerprint by using matrices Operations
Proceedings ELMAR-2014, 2014Co-Authors: Riki Mukhaiyar, Satnam Singh DlayAbstract:A cancellable biometric system aims to revote a biometric feature of an authorized person when his biometric information is misused by improper. In this system, an established biometric image is transformed to a different feature to distinguish it from the original one. Moreover, this revocable system can regenerate a new transformed cancellable biometric feature if the previous transformed feature is known by someone. These basic concepts are similar with the idea of inverse matrix and Elementary Row Operation in matrices domain. Biometric image as a digital image definitely can be processed in matrices domain. It means that the image is able to be imposed by matrices Operations such as inverse matrix Operation, Elementary Row Operation, and Kronecker product Operation. In matrix, these Operations are used for several objectives whether inverting matrix elements, changing Rows or columns, or enlarging size of the matrix. On the other hand, the combination of these Operations even can produce a non-inversed matrix.
Hou Jian-wen - One of the best experts on this subject based on the ideXlab platform.
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Visual Solution of System of Linear Equations Based on Mathematica
Computer and Modernization, 2020Co-Authors: Hou Jian-wenAbstract:Functions of Elementary Row Operation of matrix,Row reduced echelon matrix,augmented matrix,and visual solution of system of linear equations,are programmed in Mathematica 7.0 environment.Then two types of usages of the function of visual solution of system of linear equations are also discussed: users who are familiar with Mathematica 7.0 can input function with parameters to solve the system of linear equations;while any users can conveniently input the number of equations and variables,and augmented matrix after inputting function without parameters,and finally the process and general solution of the system of linear equations are output just by clicking solution button.
Piyush P. Kurur - One of the best experts on this subject based on the ideXlab platform.
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GECCO - Performance of metropolis algorithm for the minimum weight code word problem
Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14, 2014Co-Authors: Ajitha Shenoy K. B, Somenath Biswas, Piyush P. KururAbstract:We study the performance of the Metropolis algorithm for the problem of finding a code word of weight less than or equal to M, given a generator matrix of an [n,k]-binary linear code. The algorithm uses the set Sk of all kxk invertible matrices as its search space where two elements are considered adjacent if one can be obtained from the other via an Elementary Row Operation (i.e by adding one Row to another or by swapping two Rows.) We prove that the Markov chains associated with the Metropolis algorithm mix rapidly for suitable choices of the temperature parameter T. We ran the Metropolis algorithm for a number of codes and found that the algorithm performed very well in comparison to previously known experimental results.