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Mutual Information Based Feature Selection for Fingerprint Identification

Ahlem Adjimi, Abdenour Hacine-Gharbi, Philippe Ravier, Messaoud Mostefai
2019 Informatica (Ljubljana, Tiskana izd.)  
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

Ifiok J., Babajide S., Bernard I.
2016 International Journal of Computer Applications  
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

Ahlem Adjimi, Abdenour Hacine Gharbi, Philippe Ravier, Messaoud Mostefai
2017 International Journal of Biometrics (IJBM)  
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]

Gwang-Il Ri, Chol-Gyun Ri, Su-Rim Ji
2018 arXiv   pre-print
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]

F. R. Johannesen, S. Raaschou, O. V. Larsen, P. Jürgensen
1996 Lecture Notes in Computer Science  
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

Jiang Li, Sergey Tulyakov, Faisal Farooq, Jason J. Corso, Venu Govindaraju
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
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]

Wenhao Wang, Zhi Sun, Kui Ren, Bocheng Zhu
2016 arXiv   pre-print
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


Hamid JAN, Amjad ALI
2019 Applied Computer Science  
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

Honghai Yu, Pierre Moulin
2014 IEEE Transactions on Information Forensics and Security  
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

Jayanthi N., C. Chandrasekar
2016 International Journal of Computer Applications  
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  
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

Shoba Rani, P. Vijaya Abirami, K. Surya Prakhash
2016 Indian Journal of Science and Technology  
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

Akshay Agarwal, Richa Singh, Mayank Vatsa
2016 2016 23rd International Conference on Pattern Recognition (ICPR)  
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

Martin Hofman‐Apitius, Erfan Younesi, Vinod Kasam, M. Höppner
2009 Library hi tech  
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

Mariya Christeena Vijini. KMS, Kuzhaloli Shanmugan
2017 International Journal of MC Square Scientific Research  
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. fatcat:7ja6323dfffprjuvw6jsek3s6q
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