1. INTRODUCTION
FUTURE optical networks will extend wavelength division multiplexing (WDM) technology to take full advantage of the wide bandwidth of the fiber to meet with the rapidly increasing demand for communication capacity. Large WDM networks will require wavelength converters for signal path routing, and this will enable us to use wavelength resources efficiently and realize flexible network construction.
Several wavelength-conversion methods have already been proposed , including cross-gain or cross-phase ....etc

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image orientation in fingerprint. code for feature extraction from fingerprint image and matching. ....etc

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Multispectral (MS) fingerprint imaging systems use different wavelengths of light to illuminate the surface and the subsurface layers of the finger skin and capture the reflected light. The resulting fingerprint images and the combination of these images provide more discriminatory and robust information about the characteristics of the fingerprint than those from a TIR based optical fingerprint sensor ....etc

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To get full information or details of fingerprint minutiae extraction please have a look on the pages

http://seminarsprojects.net/Thread-fingerprint-recognition-future-directions-full-report?pid=25510&mode=threaded

if you again feel trouble on fingerprint minutiae extraction please reply in that page and ask specific fields in fingerprint minutiae extraction ....etc

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that is my project. i want a clear analysis and design(with UML diagrams) for my project.
plz send me if u know. highly i need it ....etc

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Minutiae Extraction Algorithm Java

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I have an application which takes data from the fingerprint device. There are 3 steps for the Finger Minutiae Extraction:

Fingerprint image Binarization
Image Thinning
Minutiae Extraction
I am done with the Image binarization and Image thinnig part. Now I have implemented code for the Minutiae Extraction. Code look like this:

byte outSkeleton = BasicOperations.copy(fingerprint.getSkeleton());

int margin = 50;
int bif = 0;
int eol = 0;
f ....etc

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Abstract

With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automat ....etc

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Normal hashing or CRC calculation algorithms do not work well with image data. The dimensional nature of the information must be taken into account.

If you need extremely robust fingerprinting, such that affine transformations (scaling, rotation, translation, flipping) are accounted for, you can use a Radon transformation on the image source to produce a normative mapping of the image data - store this with each image and then compare just the fingerprints. This is a complex algorithm and not for the faint of heart.

a few simple solutions are ....etc

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matlab codes fingerprint matching incorporating ridge features with minutiae

ABSTRACT
This paper introduces a novel fingerprint matching algorithm using both ridge features and the conventional minutiae feature to increase the recognition performance against nonlinear deformation in fingerprints. The proposed ridge features are composed of four elements: ridge count, ridge length, ridge curvature direction, and ridge type. These ridge features have some advantages in that they can represent the topology information in entire ridge patterns exi ....etc

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java source code for fingerprint matching using minutiae extraction

1. Introduction

In our electronically inter-connected society, reliable and user-friendly recognition and verification system is essential in many sectors of our life. The person s physiological or behavioral characteristics, known as biometrics, are important and vital methods that can be used for identification and verification. Fingerprint recognition is one of the most popular biometric techniques used in automatic personal identification and verification.

Many research ....etc

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