Object recognition in computer vision is the task of finding a
given object in an image or video sequence. Humans
recognize a large amount of objects in images with little
effort, regardless of the fact that the image of the objects
may differ somewhat in different viewpoints, in several
different sizes /scale or even when they are translated or
rotated . Objects can even be recognized when they are
partially obstructed from view. This task is still a challenge
for computer vision systems in general.
Object recognition can be observed ....etc

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To get full information or details of extended xml tree pattern matching please have a look on the pages

http://seminarsprojects.net/Thread-extended-xml-tree-pattern-matching-theories-and-algorithms

if you again feel trouble on extended xml tree pattern matching please reply in that page and ask specific fields in extended xml tree pattern matching ....etc

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image orientation in fingerprint. code for feature extraction from fingerprint image and matching. ....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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i am doing project in fingerprints. show the code for matching two instances of fingerprint ....etc

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Hi , please i need asimple example on how to use opencv liberary with fingerprint extraction ....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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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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introduction
Our goal is to recognize individuals from the individual images by clicking on the Gallery, which also lists only one image per person. Our task is to deal with changing the image of the differences in the expression of the face, head pose, position and size (to name only the most important). Our task, therefore, is a typical discrimination-in-presence-variance problem, where it is necessary to try to minimize dispersion and stress the discriminatory features. This is normally only possible by using information about the structure ....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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