Image Recognisation Using Neuro-fuzzy Techniques | Developing a Mamdani's Fuzzy Inference System in MATLAB using Fuzzy Logic Toolbox

Pankaj Bhambri (u. a.)

ISBN 10: 3659460834 / ISBN 13: 9783659460838

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 105618898

Bibliographic Details

• Title: Image Recognisation Using Neuro-fuzzy Techniques | Developing a Mamdani's Fuzzy Inference System in MATLAB using Fuzzy Logic Toolbox
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659460834
• ISBN 13: 9783659460838
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.