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Hierarchical fusion for matching simultaneous latent fingerprint

Anush Sankaran, Mayank Vatsa, Richa Singh
2012 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
The contribution of this paper is two-fold: (i) an automated hierarchical fusion approach is proposed for fusing evidences from multiple latent impressions, and (ii) a simultaneous latent fingerprint database  ...  Simultaneous latent matching is therefore more challenging as there is a lack of automated or semi-automated technique to aid this process.  ...  A hierarchical fusion framework that combines match score fusion with rank fusion is proposed for assimilating information from simultaneous latent impressions.  ... 
doi:10.1109/btas.2012.6374604 dblp:conf/btas/SankaranVS12 fatcat:k5wnf6b24bb3fkgon2c47zkasy

Parallel versus Hierarchical Fusion of Extended Fingerprint Features

Qijun Zhao, Feng Liu, Lei Zhang, David Zhang
2010 2010 20th International Conference on Pattern Recognition  
This paper comparatively analyses the parallel and hierarchical fusion approaches on a high resolution fingerprint image dataset.  ...  Based on the results, a novel and more effective hierarchical approach is presented for combining minutiae, pores, dots and incipient ridges.  ...  In parallel fusion approaches, different fingerprint features are matched separately and simultaneously, each defining a matcher.  ... 
doi:10.1109/icpr.2010.283 dblp:conf/icpr/ZhaoLZZ10 fatcat:xj3376qy4bec3hvasossfkgwna

A Study on Automatic Latent Fingerprint Identification System

Uttam U Deshpande, V. S. Malemath
2022 Journal of Computer Science Research  
In this regard, we present a comprehensive literature review of the existing methods utilized in latent fingerprint acquisition, segmentation, quality assessment, enhancement, feature extraction, and matching  ...  Law enforcement and forensic agencies have been using latent fingerprints as testimony in courts.  ...  Later, they did a comprehensive study in which he described the advantages of the automated hierarchical fusion approach and the simultaneous latent fingerprint database.  ... 
doi:10.30564/jcsr.v4i1.4388 fatcat:d47nbhz3vvc6zd56dimo2vgky4

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
: Improving Biometric Identification Through Quality-based Face and Fingerprint Biometric Fusion Torabi, Atousa Workshop: Feedback Scheme for Thermal-visible Video Registration, Sensor Fusion, and People  ...  Dynamic and Scalable Large Scale Image Reconstruction Simultaneous Pose, Correspondence and Non-Rigid Shape Pareto-optimal Dictionaries for Signatures Simultaneous Point Matching and 3D Deformable Surface  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

A Survey of Multi-Biometrics and Fusion Levels

Khalaf Emad Taha, Sulaiman Norrozila
2015 Indian Journal of Science and Technology  
Given that several biometric sources usually compensate for the weaknesses of single biometric fusion techniques has dealt primarily with the fusion at the score matching level.  ...  Other systems are called Mutli-biometrics systems which are utilize, or are capable of utilizing, more than one physiological or behavioral characteristic for enrolment either in verification or identification  ...  For instance, the iris and fingerprint of the same person can be used for the matching, identification and recognition purposes.  ... 
doi:10.17485/ijst/2015/v8i32/91488 fatcat:zg57auank5fgxbx6n7wy5cmfoy

A Survey on Various Approaches to Fingerprint Matching for Personal Verification and Identification

Shoba Dyre, Sumathi C.P
2016 International Journal of Computer Science & Engineering Survey  
The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching.  ...  This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.  ...  Jain and Jianjiang Feng [5] developed a fingerprint matcher for matching latent fingerprints against rolled/plain fingerprints.  ... 
doi:10.5121/ijcses.2016.7401 fatcat:x365yrgbmzcefluz7uq7pzxegu

A Fast Fingerprint Indexing Technique with Least Information using Distance Feature

Raju Rajkumar, K. Hemachandran
2017 Indian Journal of Science and Technology  
Novelity/Improvement: The proposed system uses the average values of the first three tuples and the last three tuples from the selected set of tuples for indexing.  ...  Objectives: To develop a novel fingerprint indexing system which is robust against rotation, scaling and noise?  ...  In 13 proposed an indexing technique, primarily for latent, that combines multiple level 1 and level 2 features to filter out a large portion of the background database while maintaining the latent matching  ... 
doi:10.17485/ijst/2017/v10i18/110325 fatcat:7o3afroybvci3m7dfjk7qfsokq

Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review

Haruna Chiroma, University of Hafr Al-Batrin, College of Computer Science and Engineering, Hafr Al-Batin, Saudi Arabia
2021 Journal of Artificial Intelligence and Systems  
However, there are limited studies that address the application of DL to model fingerprint biometric for different tasks in the fingerprint recognition process.  ...  The review highlights open research challenges and present new perspective for solving the challenges in the future.  ...  , latent fingerprint enhancement, fingerprint indexing, fingerprint pore matching, partial fingerprint matching, cancelable recognition system, fingerprint spoofing detection, contactless to contact-based  ... 
doi:10.33969/ais.2021.31010 fatcat:5nvhyyen45cwjltykvamsvj62q

A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization

Ling Pei, Min Zhang, Danping Zou, Ruizhi Chen, Yuwei Chen
2016 Mobile Information Systems  
Sensor-rich smartphone enables a novel approach to training the fingerprint database for mobile indoor localization via crowd sensing.  ...  In this survey, we discuss the crowd sensing based mobile indoor localization in terms of foundational knowledge, signals of fingerprints, trajectory of obtaining fingerprints, indoor maps, evolution of  ...  Deterministic algorithm is applied for matching a landmark.  ... 
doi:10.1155/2016/4041291 fatcat:ohis35pgbfgg7bganimxyqz46u

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion [article]

Yang Wang
2020 arXiv   pre-print
Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces.  ...  Substantial empirical studies are carried out to demonstrate its advantages that are benefited from deep multi-modal methods, which can essentially deepen the fusion from multi-modal deep feature spaces  ...  [72] proposed a 3D fingerprint segmentation network and a multi-view generation network to obtain the deep representation to better match 3D fingerprint.  ... 
arXiv:2006.08159v1 fatcat:g4467zmutndglmy35n3eyfwxku

An Introduction to Biometric Recognition

A.K. Jain, A. Ross, S. Prabhakar
2004 IEEE transactions on circuits and systems for video technology (Print)  
For example, in a latent search, an AFIS (Automatic Fingerprint Identification System) is typically used by law enforcement agencies only to narrow down the number of fingerprint matches to be performed  ...  Different levels of fusion in a parallel fusion mode: a) fusion at the feature extraction level; b) fusion at matching score (confidence or rank) level; c) fusion at decision (abstract label) level.  ... 
doi:10.1109/tcsvt.2003.818349 fatcat:nbd6v5yqyfdmxd3pkk6d4zvuyu

Adaptive fingerprint pore modeling and extraction

Qijun Zhao, David Zhang, Lei Zhang, Nan Luo
2010 Pattern Recognition  
Sweat pores on fingerprints have proven to be discriminative features and have recently been successfully employed in automatic fingerprint recognition systems (AFRS), where the extraction of fingerprint  ...  The fingerprint image is first partitioned into well-defined, ill-posed, and background blocks.  ...  Acknowledgements The authors would like to thank the editor and the anonymous reviewers for their help in improving the paper.  ... 
doi:10.1016/j.patcog.2010.02.016 fatcat:4nzm6556bray5aeejky7gggini

Building a Chemical Space Based on Fragment Descriptors

Igor Baskin, Alexandre Varnek
2008 Combinatorial chemistry & high throughput screening  
The authors claim that this approach "has several advantages over analogous ranking in the original descriptor space: matching latent structures is more robust than matching discrete descriptors, choosing  ...  Then, the similarity scores are combined for all retrieved structures using selected fusion rules.  ...  Marcou for fruitful discussion.  ... 
doi:10.2174/138620708785739907 pmid:18795885 fatcat:3it7gta4d5cb3krrsax2pruch4

Building a Chemical Space Based on Fragment Descriptors [chapter]

Igor I. Baskin, Alexandre Varnek
2013 Advances in Combinatorial Chemistry & High Throughput Screening  
Marcou for fruitful discussion. Disclosure. This chapter is an updated version of the article [159] .  ...  The authors claim that this approach "has several advantages over analogous ranking in the original descriptor space: matching latent structures is more robust than matching discrete descriptors, choosing  ...  Then, the similarity scores are combined for all retrieved structures using selected fusion rules.  ... 
doi:10.2174/9781608057450113010005 fatcat:mgmvtckyave2lnedebb5lmsoza

Emerging Biometrics: Deep Inference and Other Computational Intelligence [article]

Svetlana Yanushkevich, Shawn Eastwood, Kenneth Lai, Vlad Shmerko
2020 arXiv   pre-print
This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems.  ...  Computational intelligence applications that cover a wide spectrum of biometric tasks using physiological and behavioral traits are chosen for illustration.  ...  These possibilities are useful in practice [112] , [122] , including the fusion of local and global matching scores [89] .  ... 
arXiv:2006.11971v1 fatcat:k6aunuoxc5apbb347vy2lj7bsq
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