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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We have already discussed the use of the first biometric, which is the face of the person trying to login to the system. However since we mentioned that using a single biometric can be quite risky, we suggest adding secondary biometric checks to the system, like the fingerprint of a person. There are many of the shelf fingerprint scanners which are quite cheap and return you the scanned image. However you will still have to write your own registration software for these scanners and which can be done by using OpenCV software. ....etc

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

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i want to do mini project of Automatic Licence Plate Recognition by using openCV and VC++. i am trying to develop and i have completed upto detection of plate successfully in some images . stuck up with OCR part for detected plates .Please help to get finish this thing .Help would be appreciated greatly. ....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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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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kannada character segmentation code in opencv

Abstract

Data processing and management is common now a days. In this paper, automatic processing of forms written in Kannada language is considered. A suitable pre-processing technique is presented for extracting handwritten characters. Principal Component Analysis (PCA) and Histogram of oriented Gradients (HoG) are used for feature extraction. These features are fed to multilayer feed forward back propagation neural network for classification. Only 57 characters are used for recognition. Perform ....etc

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