Image Recognisation Using Neuro-Fuzzy Techniques: Developing A Mamdani's Fuzzy Inference System In Matlab Using Fuzzy Logic Toolbox

Bhambri, Pankaj; Paika, Vishal; Bhambri, Pankaj; Paika, Vishal

ISBN 10: 3659460834 ISBN 13: 9783659460838
Published by Lap Lambert Academic Publishing, 2013
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Face recognition is a biometric which uses computer software to determine the identity of the individual. Face recognition falls into the category of biometrics which is the "Automatic recognition of a person using distinguishing traits". The edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as the edge pixels and are connected to give an edge. In this this research work, first a method has been developed for automatic edge detection of an digital image. Here, we have developed a mamdani's fuzzy inference system in MATLAB using fuzzy logic toolbox. A smallest possible 2*2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line and then reaching at the end of the line, it increments to check the next vertical location and it continues till the whole image is scanned. The FIS built has four inputs, each input representing a pixel for 2*2 mask, and one output that represents pixel under consideration. The rule editor consists of sixteen fuzzy rules. The system built is represented by the trapezoidal membership function to model the behavior of pixels.

About the Author: Er. Pankaj Bhambri is working as Asstt. Prof. at Guru Nanak Dev Engineering College, Ludhiana. His research areas are Bioinformatics, Image Processing and Parallel Comp. Er. Vishal Paika submitted his work on Image Recognisation Using Neuro-Fuzzy Techniques under the guidance of Er. Pankaj Bhambri in July, 2013 at GNDEC, Ldh.

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Title: Image Recognisation Using Neuro-Fuzzy ...
Publisher: Lap Lambert Academic Publishing
Publication Date: 2013
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhambri PankajEr. Pankaj Bhambri is working as Asstt. Prof. at Guru Nanak Dev Engineering College, Ludhiana. His research areas are Bioinformatics, Image Processing and Parallel Comp. Er. Vishal Paika submitted his work on Image Reco. Seller Inventory # 5157470

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Face recognition is a biometric which uses computer software to determine the identity of the individual. Face recognition falls into the category of biometrics which is the 'Automatic recognition of a person using distinguishing traits'. The edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as the edge pixels and are connected to give an edge. In this this research work, first a method has been developed for automatic edge detection of an digital image. Here, we have developed a mamdani's fuzzy inference system in MATLAB using fuzzy logic toolbox. A smallest possible 2 2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line and then reaching at the end of the line, it increments to check the next vertical location and it continues till the whole image is scanned. The FIS built has four inputs, each input representing a pixel for 2 2 mask, and one output that represents pixel under consideration. The rule editor consists of sixteen fuzzy rules. The system built is represented by the trapezoidal membership function to model the behavior of pixels. 80 pp. Englisch. Seller Inventory # 9783659460838

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Taschenbuch. Condition: Neu. Image Recognisation Using Neuro-fuzzy Techniques | Developing a Mamdani's Fuzzy Inference System in MATLAB using Fuzzy Logic Toolbox | Pankaj Bhambri (u. a.) | Taschenbuch | 80 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659460838 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105618898

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Face recognition is a biometric which uses computer software to determine the identity of the individual. Face recognition falls into the category of biometrics which is the 'Automatic recognition of a person using distinguishing traits'. The edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as the edge pixels and are connected to give an edge. In this this research work, first a method has been developed for automatic edge detection of an digital image. Here, we have developed a mamdani's fuzzy inference system in MATLAB using fuzzy logic toolbox. A smallest possible 2 2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line and then reaching at the end of the line, it increments to check the next vertical location and it continues till the whole image is scanned. The FIS built has four inputs, each input representing a pixel for 2 2 mask, and one output that represents pixel under consideration. The rule editor consists of sixteen fuzzy rules. The system built is represented by the trapezoidal membership function to model the behavior of pixels. Seller Inventory # 9783659460838

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Face recognition is a biometric which uses computer software to determine the identity of the individual. Face recognition falls into the category of biometrics which is the 'Automatic recognition of a person using distinguishing traits'. The edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as the edge pixels and are connected to give an edge. In this this research work, first a method has been developed for automatic edge detection of an digital image. Here, we have developed a mamdani's fuzzy inference system in MATLAB using fuzzy logic toolbox. A smallest possible 2\*2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line and then reaching at the end of the line, it increments to check the next vertical location and it continues till the whole image is scanned. The FIS built has four inputs, each input representing a pixel for 2\*2 mask, and one output that represents pixel under consideration. The rule editor consists of sixteen fuzzy rules. The system built is represented by the trapezoidal membership function to model the behavior of pixels.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Seller Inventory # 9783659460838

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Bhambri, Pankaj, Paika, Vishal
Published by LAP LAMBERT Academic Publishing, 2013
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