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 researchers have addressed the fingerprint classification problem and many a ....etc

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Abstract

In this paper, we introduce the Minutia Cylinder-Code (MCC): a novel representation based on 3D data structures (called cylinders), built from minutiae distances and angles. The cylinders can be created starting from a subset of the mandatory features (minutiae position and direction) defined by standards like ISO/IEC 19794-2 (2005). Thanks to the cylinder invariance, fixed-length, and bit-oriented coding, some simple but very effective metrics can be defined to compute local similarities and to consolidate them into a global score. E ....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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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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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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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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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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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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Clustering of numerical data forms the basis of many classification and system modeling algorithms. The purpose of clustering is to identify natural groupings of data from a large data set to produce a concise representation of a system's behavior.

Fuzzy c-means (FCM) is a data clustering technique in which a dataset is grouped into n clusters with every datapoint in the dataset belonging to every cluster to a certain degree. For example, a certain datapoint that lies close to the center of a cluster will have a high degree of belonging or mem ....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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