free download full source code for offline signature verification using matlab

There exists a range of biometric techniques, for example, signatures, fingerprints, Iris and so there is considerable interest in handwriting authentication signature verification system, as this is the cheapest way to human authentication. Fingerprints and iris scan requires costly equipment and Hencse may not be used in places such as day-to-day banking and so on forensic experts because I can not be used in every love There has been significant efforts towards t ....etc

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Abstract

Mixed impulsive and Gaussian noise reduction from digital colour images is a challenging task because it is necessary to appropriately process both types of noise that in turn need to be distinguished from the original image structures such as edges and details. Fuzzy theory is useful to build simple, efficient and effective solutions for this problem. In this paper, we propose a fuzzy method to reduce Gaussian and impulsive noise from colour images. Our method uses one only filtering operation: a weighted averaging. A fuzzy rule syst ....etc

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Adaptive Network Based Fuzzy Inference Systems (ANFIS)



ANFIS is an adaptive network. An adaptive network is network of nodes and directional links. Associated with the network is a learning rule - for example back propagation. It s called adaptive because some, or all, of the nodes have parameters which affect the output of the node. These networks are learning a relationship between inputs and outputs.
Adaptive networks covers a number of different approaches but for our purposes we will investigate in some ....etc

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plz show me this video. i need it for my fuzzy control course ....etc

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sir i want to use arduino kit for progrming,and i want to use ATMEGA32 microcontroller for mppt,i have to use steeper motor for to move solar panel with the direction of sun,so sir i have required the code for this.sir it's flow chart is given in the research paper given below
Design and Construction of an Automatic Solar
Tracking System
Md. Tanvir Arafat Khan, S.M. Shahrear Tanzil, Rifat Rahman, S M Shafiul Alam*, Member, IEE
Department of Electrical and Electronic Engineering,
Bangladesh University of Engineering and Technology, Dhaka, ....etc

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source code for cut detection in wireless sensor network matlab free download

ABSTRACT

A wireless sensor network can get separated into multiple connected components due to the failure of some of its nodes, which is called a cut . In this article we consider the problem of detecting cuts by the remaining nodes of a wireless sensor network. We propose an algorithm that allows (i) every node to detect when the connectivity to a specially designated node has been lost, and (ii) one or more nodes (that are connected to the special node after th ....etc

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Author-Neural Network module

Description

Provides the Neural Network Toolbox for Scilab.

ideas

There are several libraries. From these two main libraries, the library can be distinguished:

FANN: C library that implements the classic neurals networks and actively developed. For version 3, FANN will include recurrent neural networks, several accelerated neural networks (based on Blas or the GPU). It runs on Windows, Unix, MacOS;
SNNS: a tool with a graphical interface. This tool implements nearly all know neural networks (current, SOM, etc. ....etc

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Optical character recognition (OCR) is the translation of optically scanned bitmaps of printed or written text characters into character codes, such as ASCII. This is an efficient way to turn hard-copy materials into data files that can be edited and otherwise manipulated on a computer. This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effec ....etc

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can i get the matlab code for the project Brain-Tumour-Extraction-from-MRI-Images-Using-MATLAB ....etc

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introduction
the controller always aims to achieve the process variable to the
given set point value. this is the main task of the properly
designed controller. the controller should also provide some
flexibility in case of change in set point and disturbances. today
there are many methods for designing intelligent controllers, such
as predictive controller, fuzzy control, neural networks and expert
systems. various combinations of these controllers give a number
of design possibilities.

model predictive control
classical mpc
the m ....etc

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