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fingerprint machine



Partial fingerprint recognition using support vector machine
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Abstract: In this study, a novel partial fingerprint matching approach that uses global minutiae matching and the support vector machine is presented. Global minutiae-based matching algorithm is used to record the matching pairs and their feature vectors are used

Support Vector Machine Based Fingerprint Identification
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Abstract:This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system based on support vector machine. Promising Results of first experiences pushed us to develop codification and recognition algorithms

The Human Fingerprint in Machine Generated Music
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Abstract. Machine--learning offers the potential for autonomous generative art creation. Given a corpus, the system can analyse it and provide rules from which to generate new art. The benefit of such a musical system is described, as well as the difficulties in its design

A Review Paper on Design of Highly Secured Automatic Teller Machine System by using Aadhaar card and Fingerprint
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Abstract: The primary aim of this project is to design a system that will improve the authentication of customers using Automatic Teller Machine. In most country existing ATM system use magnetic card reader. The customer is identifying by inserting an ATM card

Fingerprint Recognition Based Electronic Voting Machine
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Abstract:The objective of voting is to allow voters to exercise their right to express their choices regarding specific issues, pieces of legislation, citizen initiatives, constitutional amendments, recalls and/or to choose their government and political representatives. It

Person Authentication using Relevance Vector Machine (RVM) for Face and Fingerprint
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Abstract:Multimodal biometric systems have proven more efficient in personal verification or identification than single biometric ones, so it is also a focus of this paper. Particularly, in the paper, the authors present a multimodal biometric system in which features from face

FINGERPRINT CLASSIFICATION BASED ON RECURSIVE NEURAL NETWORK WITH SUPPORT VECTOR MACHINE
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Abstract Fingerprint classification based on statistical and structural (RNN and SVM) approach. RNNs are trained on a structured representation of the fingerprint image. They are also used to extract a set of distributed features of the fingerprint which can be Manifold learning is the process of estimating the structure of a manifold from a set of samples, also referred to as observations or instances, taken from the manifold. It is a subfield of machine learning that operates in continuous domains and learns from

Studies of hashed fingerprint density in terms of its influence on machine learning methods performance
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A great number of computational techniques have been developed and applied in the field of drug discovery. Data mining methodologies (including machine learning methods) are among the most popular tools used in virtual screening (VS) campaigns, where potentially

Support Vector Machine Based Fingerprint Identification
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Abstract:This work is released in biometric field and has as goal, development of a full automatic finger print identification system based on support vector machine. Promising Results of first experiences pushed us to develop condition and recognition algorithms

Fingerprint Prediction Using Statistical and Machine Learning Methods
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Abstract. There are various fingerprint prediction models but it is difficult to determine which model is ideal based on one performance measure. This paper looked at four machine learning methods and one statistical method: k-Nearest Neighbour (k-NN), Artificial Neural

A Fingerprint Identification Algorithm for Integration into an Electronic Voting Machine using a Microcontroller.
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ABSTRACT Fingerprints, each authenticated into a 64-byte format using a prescribed manufacturer's algorithm, were stored in the flash program memory of a microcontroller. The fingerprints were later captured using a fingerprint module and each fingerprint was

Machine learning in fingerprint probability evaluation
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ABSTRACT Although fingerprints have been used in forensic identification for over a century, establishing the degree of uniqueness a given fingerprint has remained elusive

fingerprint recognition research papers 2015



Comparative Study of Various Techniques of Fingerprint Recognition Systems
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Abstract: Nowadays Biometric plays vital role in many applications. It is defined as the credentials of people based on their physiological or behavioral characteristics. Biometric recognition can be classified into various types they are fingerprint, face, iris, palm print,

Fingerprint Recognition Student Attendance Management System
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Page 1. FingerprintRecognition Student Attendance Management System A REPORT SUBMITTED TO REPORT STATUS DECLARATION FORM Title: Fingerprint Recognition Student Attendance Management System Academic Session:

Proposal Fingerprint Recognition Regimes Development Based on Minutiae Matching
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Abstract:Fingerprint recognition is one of the oldest and most popular biometric technology and it is used in criminal investigations, civilian, commercial applications, and so on. Fingerprint matching is the process used to determine whether the two sets of fingerprints

SIFT-Based Low-Quality Fingerprint LSH Retrieval and Recognition Method
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Abstract Most of the existing fingerprint retrieval systems are based on the overall characteristics and detailed features of fingerprints, and their performance is poor in the cases of low-quality fingerprint images, such as incomplete fingerprint images. In order to

An Efficient Approach for Fingerprint Recognition
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Abstract–For over a century, fingerprints have been one of the most highly used methods for human recognition; automated biometric systems have only been available in recent years. Most biometric systems use everyday sensors, such as a digital camera, to obtain the

Research and Application of Fingerprint Recognition Based on MATLAB
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Abstract: With the development of biometric technology, fingerprint recognition technology continues to be widely used in practice due to its uniqueness and reliability, It trends to replace other traditional methods. By using Matlab as a simulation platform and making

AN ENHANCEMENT ALGORITHM USING GABOR FILTER FOR FINGERPRINT RECOGNITION.
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ABSTRACT Fingerprint recognition is being widely applied in the personal identification for the purpose of high degree of security by matching processes between two human fingerprints. Many different techniques have been proposed to have a satisfactory

Fingerprint Recognition using Fuzzy Back Propagation Neural Network
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Abstract:Fingerprint is the most widely used form of biometric system. Every person has a unique fingerprint and it is stable over the person's lifetime. In this paper a fingerprint verification system using invariant moment features and Back Propagation Neural

Fingerprint Recognition by Minutiae Points for Airport Security
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ABSTRACT For identifying the individual person and authorizing the person Fingerprint recognition are used. Many matching algorithm are used for identifying Fingerprint of an individual. In which the minutiae points are founded and marked as the Fingerprint

An Analysis of Altered Fingerprint Detection, Recognition and Verification
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Abstract-The common positioning of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control submissions has sensitive the need for safeguarding that these systems are not compromised. Whereas numerous problems associated to

Assessment of Attacks to Fingerprint, Iris and Face Recognition Verification Systems
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Abstract: In this paper, we propose a novel system with the help of java is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user- friendly, and non-intrusive manner, through the use of image quality assessment, which

PUBLICATION FROM BIOMETRIC

Scalable approach for fingerprint matching system based on minutiae extraction



Filterbank-based fingerprint matching
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Many previous approaches to determination of a reference point ( ) critically relied on the local features the other hand, for an accurate localization of the reference point, the approach should be 1) contains 1800 fingerprint images (image size = pixels) from 900 different fingers.

Fingerprint matching using minutiae and texture features
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distance between the two corresponding FingerCodes and hence is extremely fast and scalable. basedapproach [6] that does not utilize texture information for representing the fingerprint. seen in the graph, the hybrid approach outperforms the minutiae-basedapproach over a

An identity-authentication system using fingerprints
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ability to compensate adaptively for the nonlinear deformations and inexact trans- formations between different fingerprints. Given a pair of appropriately aligned fingerprint representations and a set of already matched pairs of minutiae, the matching algorithm incrementally

Combining multiple matchers for a high security fingerprint verification system
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Approaches for combining classifier outputs include the Bayesian method (Bigün et al., 1997), the sum and the Bunke: Could you comment on efficiency and scalability of the approach we are doing one-to-one matching, we do not have to worry about the scalability issue in extrapolation of the results obtained on NIST-4 database to estimate the scalability of our A thorough comparison of these two kinds of approaches (indexing and classification followed by Our approach can also be applied to each class after the fingerprints have been classified

Learning fingerprint minutiae location and type
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However, in both these approaches, the templates were applied to the binarized ridge images for This is an example of a sequential approach to system design and suffers from the 2). Several of the fingerprintmatching algorithms reported in the literature do not use minutia

On the individuality of fingerprints
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Most of the earlier approaches to fingerprint individual- ity did not explicitly account Our approach not only explicitly models the situation of partial representational match, but will be compared against empirical values using an Automatic FingerprintMatchingSystem (AFMS) [10

Biometric cryptosystems: issues and challenges
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fingerprint data, we present the limitations of the present approach to designing The most promising approaches in the literature tolerate only a limited amount of on the Advanced Identification Solutions Project dealing with reliable and scalablefingerprintrecognitionsystems. To evaluate the indexer scalability, a further experiment on NIST DB14 has been 5 CONCLUSION In this paper, a new fingerprint indexing approach has been proposed Differently from typical LSH-based approaches, the proposed algorithm does not require calculating any

Hardening fingerprint fuzzy vault using password
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A key is derived directly from biometric features Most efficient and scalable approach Tolerance to intra Hence, the proposed approach provides higher level of security as long as the password better than the fuzzy vault framework and most of the other approaches presented in

Biometrics: a grand challenge
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to reliably identify people against the watch-list; and (ii) engineered approach to signal acquisition: significant Both these approaches do not perform well in practice. 9]. Offering a generic efficient indexing technology for biometric patterns would imply effective scalability of large

Biometrics: a tool for information security
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applications; and 3) dis- cussing solutions to address the problems of scalability and security in and a similarity measure (eg, string matching), there are two approaches for determining In the empirical approach, representative samples of finger- prints are collected and using a

Fingerprint representation using localized texture features
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features, we outline an algorithm for identification (1:N matching) and empirically show its scalability. are designed for 1:1 verification and are therefore not directly scalable for large The optimal coefficients are obtained a gradient descent approach as suggested by Daugman.

System and method for determining block direction in fingerprint images
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The higher the nomalized score, the higher the likelihood that the test and template fingerprints are the scans of the same finger. 1A is a prior art drawing of a portion of a typical fingerprint. FIG. 1B is a prior art drawing showing minutiae of the portion of the fingerprint in FIG. Unfortunately, search times are not reported for other published indexing approaches, and it is not possible to make a systematic comparison like the one done for accuracy in Section IV-C. Although the In order to evaluate the scalability of the proposed approach, a large

Audio-and Video-Based Biometric Person Authentication: Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6-8, 2001. Proceedings
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of robustness to shifting usage conditions and adaptability to scalable security requirements. 198 Bazen AM and Gerez SH A Triple BasedApproach for Indexing of Kim J. Fingerprint Classification by Combination of Flat and Structural Approaches..

Fingerprint indexing based on composite set of reduced SIFT features
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Figure 2 shows the experimental re- sults via these two approaches on FVC2002 DB1. The Composite approach performs much better than the Single one. [10] JJ Foo and R. Sinha. Pruning SIFT for scalable near-duplicate image matching. Proc.

Privacy-preserving fingercode authentication
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in order to reliably extract the minutia features [6]. An- other class of fingerprintmatching approaches matches copy of , our solutions adopt the following three steps approach: setting where the client (ie the biometric device) already has the fingerprint data.

Generate a key for AES using biometric for VOIP network security
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t enough, VoIP deployments also reduce cost and enhance scalability by employing This approach has reduced the complicated sequence of the operation to generate FingerprintMinutiae ExtractionBased On FPGA and MatLab, Víctor López Lorenzo, Pablo Huerta Pellitero

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