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Mutual Information Based Feature Selection for Fingerprint Identification
2019
Informatica (Ljubljana, Tiskana izd.)
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As mutual information based selection methods, we use four strategies: Maximization of Mutual Information (MIFS), minimum Redundancy and Maximal Relevance (mRMR), Conditional Info max Feature Extraction ...
In the field of fingerprint identification, local histograms coding is one of the most popular techniques used for fingerprint representation, due to its simplicity. ...
Section 4 describes the feature selection methods based on mutual information. ...
doi:10.31449/inf.v43i2.1621
fatcat:5duksbm3o5bkrlwwvpagx53kju
Hybrid Minutiae-based Architecture for Automated Fingerprint Verification System
2016
International Journal of Computer Applications
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In this paper, data reduction on minutiae is performed based on mutual information which is an information theoretic approach. This process is called instance selection. ...
However, the criteria to address instance selection on fingerprint minutiae are set based on maximum normalized mutual information that exist between minutiae and reference points taken from the selected ...
doi:10.5120/ijca2016907908
fatcat:s46v6kodkrhcfnpisu44stxgrm
Extraction and selection of binarised statistical image features for fingerprint recognition
2017
International Journal of Biometrics (IJBM)
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To avoid this problem we have used a feature selection method based on the mutual information called interaction capping (ICAP) which selects the relevant bins of the BSIF histogram. ...
Due to their simplicity and efficiency, histogram-based descriptors are very used in the task of fingerprint recognition. ...
We have also used the feature selection method ICAP which is based on the mutual information to only select the pertinent BSIF features for the fingerprint recognition. ...
doi:10.1504/ijbm.2017.084133
fatcat:tkdjliltzzh75ncqtvcmroanjy
A Fingerprint Indexing Method Based on Minutia Descriptor and Clustering
[article]
2018
arXiv
pre-print
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In this paper, we select a minutia descriptor, which has been used to improve the accuracy of the fingerprint matching, as a local feature for indexing and construct a fixed-length feature vector which ...
What kind of features are used for indexing and how to employ the extracted features for searching are crucial for the fingerprint indexing. ...
The selection of local features and searching methods for the fingerprint indexing The purpose of the fingerprint indexing is to reduce the identification time without the loss of accuracy of the fingerprint ...
arXiv:1811.08645v1
fatcat:6g6jghabjzhcrklm4vwit5fc4a
Using weighted minutiae for fingerprint identification
[chapter]
1996
Lecture Notes in Computer Science
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To strengthen the matching even further, relational information is used along with attribute information for describing a fingerprint. ...
This paper describes how a minutiae reliability measure can be defined and integrated in an automatic fingerprint identification system. ...
The evaluating function is based on mutual information as it allows for using both symbolic and numeric features and both attributes and relations at the same time. ...
doi:10.1007/3-540-61577-6_30
fatcat:6aktrzouuvb2fan746y2fsp4ia
Integrating minutiae based fingerprint matching with local mutual information
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
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Minutiae based fingerprint matching algorithms are wildly used in fingerprint identification and verification applications. ...
The overall minutiae distribution pattern between two fingerprints is represented by the initial minutiae matching result, while the mutual information measures the similarity between neighborhoods of ...
To achieve a more reliable mutual information based on such minutia pairs, we implement a local search for maximizing local mutual information. ...
doi:10.1109/icpr.2008.4761888
dblp:conf/icpr/LiTFCG08
fatcat:i4txeuil4bdu5msri2je2hm7tu
User Capacity of Wireless Physical-layer Identification: An Information-theoretic Perspective
[article]
2016
arXiv
pre-print
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An information-theoretic approach is consequently proposed based on mutual information between RFF and user identity to characterize the user capacity of WPLI. ...
Wireless Physical Layer Identification (WPLI) system aims at identifying or classifying authorized devices based on the unique Radio Frequency Fingerprints (RFFs) extracted from their radio frequency signals ...
A feature extraction module is then to obtain selected kinds of identification-relevant feature from the identification signal to form a fingerprint. ...
arXiv:1511.00150v2
fatcat:wxn57sw3p5b7hops7gyhfp2cye
OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION
2019
Applied Computer Science
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This algorithm shows best results as compared to conventional fingerprint matching techniques that strongly depends on local features for registration. ...
The Algorithm is based on decomposition and reduction of fingerprint to one dimension form by using the adoptive method of empirical modes. ...
INTRODUCTION Identification of a person using fingerprints has been used for many years. ...
doi:10.23743/acs-2019-10
doaj:61f2268b0d6e48eeaf27075de12df7ce
fatcat:mkbyd7lmfzhpliiylwbhktskc4
Regularized Adaboost Learning for Identification of Time-Varying Content
2014
IEEE Transactions on Information Forensics and Security
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An information-theoretic analysis of the SPB algorithm is given, showing that each iteration of SPB maximizes a lower bound on the mutual information between matching fingerprint pairs. ...
The proposed algorithm demonstrates significant performance gains over SPB for both audio and video content identification (ID) systems. ...
ACKNOWLEDGMENT The authors thank the reviewers for the careful reading of the manuscript and valuable suggestions. ...
doi:10.1109/tifs.2014.2347808
fatcat:k475bttumvfyfolilhvn7xdvni
Fusion based Multimodal Biometric Security for Social Networks Communication
2016
International Journal of Computer Applications
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Feature extraction for FMBS is performed utilizing combination of Binomial Feature Distribution Algorithm and Neighborhood Dominant Attribute Identification for both face and fingerprint features. ...
This paper proposes a novel Fusion based Multimodal Biometric Security (FMBS) method utilizing Face and Fingerprint features of human individuals on social networks. ...
image based on the mutual information of the individual features. ...
doi:10.5120/ijca2016911191
fatcat:iaoubyn4w5ff5pds4u7iayqobu
A fingerprint identification algorithm by clus-tering similarity
2005
Science in China Series F Information Sciences
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Finally, multi-resolution technique is used to find an optimal transformation model for getting the maximal mutual information between the input and the template features. ...
This paper introduces a fingerprint identification algorithm by clustering similarity with the view to overcome the dilemmas encountered in fingerprint identification. ...
The exclusive global feature-based techniques [4, 5] match the global patterns of the fingerprint texture by aligning the input global features and calculating the maximum mutual global information between ...
doi:10.1360/04yf0113
fatcat:arlnjd7esfhspesvu7nw36fxni
Implementation of Biological Recognition System for Gender Identification using Fingerprint Images
2016
Indian Journal of Science and Technology
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Background/Objective: A computer based biological recognition system implementation for gender identification by using digitally acquired fingerprint through an optical fingerprint sensor. ...
features(FDF), and is combined together for accurate gender identification through a comparison with a set of sample fingerprints of different sex, age, ethnicity, etc. ...
The features of Fast Fourier Transform, Eccentricity and major axis length are used to identify the gender selection. For gender identification is chosen by each transform of Optimal threshold. ...
doi:10.17485/ijst/2016/v9i43/91357
fatcat:6tbk6vigjfcrdai6yc2rrn6jeu
Fingerprint sensor classification via Mélange of handcrafted features
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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This paper presents a novel fingerprint sensor identification algorithm based on multiple features such as Haralick, entropy, statistical and image quality features. ...
For both the problems, one potential approach includes automatically identifying sensors based on the input image. ...
The feature selection algorithms used are based on: (1) Mutual Information (MI), (2) Statistical Dependency (SD), (3) Sequential Forward Selection (SFS), (4) Sequential Floating Forward Selection (SFFS ...
doi:10.1109/icpr.2016.7900094
dblp:conf/icpr/AgarwalSV16
fatcat:hsbw73fvrfckhkjbah6aghfb6y
Direct use of information extraction from scientific text for modeling and simulation in the life sciences
2009
Library hi tech
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Extraction
Term to
Concept
Mapping
Feature
Vector
Generation
Feature &
Model
Selection
Seite 23
23
Feature Selection
> Mutual Information
> Chi-square criterion
Models/Classifiers ...
Model
Selection
Seite 24
24
ATC Class
Prediction
Information
Extraction
Term to
Concept
Mapping
Feature
Vector
Generation
Feature &
Model
Selection
Concept Based Vs Structure Based ...
doi:10.1108/07378830911007637
fatcat:4c2ywzuuevcj7b7nwqz6tnwpyq
Gender Classification From The Iris Code Used For Recognition
2017
International Journal of MC Square Scientific Research
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In this paper, we present a new method for gender classification based on features of the iris texture selected by mutual information to improve gender classification of face images. ...
We also showed improved results by fusion of texture features with best features selected independently from the left and right irises based on selection of features using rank feature selection method ...
Block Diagram Flow Chart for Overall System 1.2 System Modules
Feature Extraction & Selection Module Feature selection based on mutual information and feature fusion has been used in the proposed methodology.We ...
doi:10.20894/ijmsr.117.009.001.027
fatcat:7ja6323dfffprjuvw6jsek3s6q
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