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Hierarchical fusion for matching simultaneous latent fingerprint
2012
2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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Simultaneous latent matching is therefore more challenging as there is a lack of automated or semi-automated technique to aid this process. ...
Simultaneous latent fingerprints are a cluster of latent fingerprints that are concurrently deposited by the same person. ...
Literature Survey The properties and the challenges of the latent fingerprint hold true for simultaneous latent fingerprint as well, apart from the inclusion of context information. ...
doi:10.1109/btas.2012.6374604
dblp:conf/btas/SankaranVS12
fatcat:k5wnf6b24bb3fkgon2c47zkasy
An Advanced Latent Fingerprint Matching by Using Level Three Features
2017
International Journal for Research in Applied Science and Engineering Technology
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While tremendous progress has been made in plain and rolled fingerprint matching, latent fingerprint matching continues to be a difficult problem. ...
Latent Fingerprint Identification is of critical importance to law enforcement agencies in identifying suspects. Latent Fingerprints are inadvertent impressions left by fingers on surfaces of object. ...
Jain, Jianjiang Feng, published their findings search, a fingerprint examiner attempts to identify an in "On Matching Latent Fingerprint", Case profile, individual by comparing a full or partial latent ...
doi:10.22214/ijraset.2017.3014
fatcat:xiwmuycr4rax7hlstx4hpijxgu
Latent Fingerprint Identification Using Deep Learning Method
2019
International Journal of Scientific Research in Science Engineering and Technology
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The first stage in our model uses deep learning, namely Region Convolutional Neural Network (R-CNN) to segment a latent fingerprint. ...
In the second stage, feature vectors computed from the segmented latent fingerprint are used as input to a multi-class perceptron that predicts the value of the fingerprint. ...
CONCLUSION
In this section, the conclusion decides that the
latent fingerprint matching
techniques. ...
doi:10.32628/ijsrset1962144
fatcat:fvnenedhcrgj3oovlaawkmthwi
CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing
2020
Frontiers in Robotics and AI
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We obtained a Rank-1 identification rate of 80% for FVC2004 fingerprints and 84.5% for NIST SD27 latent fingerprint databases. ...
Matching was done on FVC2004 and NIST SD27 latent fingerprint databases against 640 and 3,758 gallery fingerprint images, respectively. ...
We explored the possibility of indexing using Nearest Neighbor arrangement for fingerprints. ...
doi:10.3389/frobt.2020.00113
pmid:33501279
pmcid:PMC7806089
doaj:6139ee6048324c03ab9aa7eba4c52ef4
fatcat:lh7mzor2bjhwpdcqdv2gdxjwei
Automated clarity and quality assessment for latent fingerprints
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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Clarity of a latent impression is defined as the discernability of fingerprint features while quality is defined as the amount (number) of features contributing towards matching. ...
Automated estimation of clarity and quality at local regions in a latent fingerprint is a research challenge and has received limited attention in the literature. ...
In latent fingerprints, quality has received limited attention in the literature. Hicklin et al. [8] conducted a large scale survey of examiners on latent fingerprint quality assessment. ...
doi:10.1109/btas.2013.6712716
dblp:conf/btas/SankaranVS13
fatcat:qdc7z6xbmbae3cs445rtmnuhqy
A Study on Automatic Latent Fingerprint Identification System
2022
Journal of Computer Science Research
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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 ...
Therefore, a tremendous amount of research is being carried out in automatic latent fingerprint identification to improve the overall fingerprint recognition performance. ...
Conclusions and Future Work This survey provides detailed information on available latent fingerprint recognition methods. It also describes the issue and challenges of latent fingerprints. ...
doi:10.30564/jcsr.v4i1.4388
fatcat:d47nbhz3vvc6zd56dimo2vgky4
Robust Wireless Transmission of Compressed Latent Fingerprint Images
2007
IEEE Transactions on Information Forensics and Security
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Maximizing the potential of latent fingerprints from crime scenes in the identification of suspects requires the rapid transfer of the latent from the scene to a remote fingerprint bureau. ...
Transmission over restricted-bandwidth cellular wireless networks requires the latent images to be compressed but without compromising the likelihood of a match being achieved. ...
The authors thank numerous fingerprint officers and crime scene examiners who generously gave their time and expertise. ...
doi:10.1109/tifs.2007.902684
fatcat:y7rhu6rd3zeqvgdzvogvicn7oe
Latent fingerprint from multiple surfaces: Database and quality analysis
2015
2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)
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In this research, we create a novel multi-surface latent fingerprint database and make it publicly available for the research community. ...
Due to these observed variations, the overall quality and the matching performance of latent fingerprints vary with respect to surface properties. ...
A survey of existing latent fingerprint matching algorithm in the literature shows that local Minutiae Cylinder Code (MCC) [6, 8] descriptor based matching provides state-of-the-art results [14] . ...
doi:10.1109/btas.2015.7358773
dblp:conf/btas/SankaranAKGSVS15
fatcat:ubtliiouhjf3ldjbv2x3ybaj2m
Accuracy and reliability of forensic latent fingerprint decisions
2011
Proceedings of the National Academy of Sciences of the United States of America
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and exemplar fingerprints from a pool of 744 pairs. ...
Examiners frequently differed on whether fingerprints were suitable for reaching a conclusion. ...
This work was funded in part under a contract award to Noblis, Inc. from the FBI Biometric Center of Excellence and in part by the FBI Laboratory Division. ...
doi:10.1073/pnas.1018707108
pmid:21518906
pmcid:PMC3093498
fatcat:fzrhqoqcqzc3nc5ndamm55llam
A Survey on Various Approaches to Fingerprint Matching for Personal Verification and Identification
2016
International Journal of Computer Science & Engineering Survey
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This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching. ...
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. ...
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
Latent Fingerprint Enhancement via Time Variance Gabor and Sparse Representation
2019
International Journal for Research in Applied Science and Engineering Technology
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Latent fingerprint images are usually of poor quality with unclear ridge structure. ...
for latent fingerprints due to the poor image quality and unclear ridge structure. ...
LITERATURE SURVEY Latent fingerprints are the finger skin impressions found at the crime scene by the criminals left accidently. Generally those are not directly visible to our eyes. ...
doi:10.22214/ijraset.2019.1121
fatcat:65ek3gub2jho7kr7h7zutlem5u
A Study Latent Search and Feature Extraction Techniques used in Fingerprint Recognition
2016
International Journal of Computer Applications
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Fingerprints are first curved using a directional filter whose orientation is everywhere matched to local orientation. A robust method for latent fingerprint verification improvement is studied. ...
Fingerprint improvement is a serious part in automatic fingerprint recognition system. ...
CONCLUSION The latent fingerprints are found at law enforcement agencies crime sense. The literature survey on different existing latent fingerprint methods was includes done in this paper. ...
doi:10.5120/ijca2016909930
fatcat:mtyyoxth45az7pq52r656667vi
Deep Learning-based Ligand Design using Shared Latent Implicit Fingerprints from Collaborative Filtering
[article]
2020
bioRxiv
pre-print
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In their previous work , Srinivas et al have shown that implicit fingerprints capture ligands and proteins in a shared latent space, typically for the purposes of virtual screening with collaborative filtering ...
In this work, we extend these implicit fingerprints/descriptors using deep learning techniques to translate latent descriptors into discrete representations of molecules (SMILES), without explicitly optimizing ...
critical barrier is the lack of a universal fingerprinting model that can amass knowledge about drug compounds, protein targets, and assay characteristics in a shared latent space that can be used by a ...
doi:10.1101/2020.11.18.389213
fatcat:lji5li4sefey5ag3v2ivpvemgi
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification
2017
Information Fusion
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There are three major contributions of this research: (i) a machine learning algorithm for combining five different categories of features for automatic latent fingerprint segmentation, (ii) a feature ...
Latent fingerprints are important evidences used by law enforcement agencies. ...
Keith Morris (West Virginia University) for his insightful and support on latent fingerprint. ...
doi:10.1016/j.inffus.2016.05.002
fatcat:7av3fvetpfbodkxnarul3lbt7y
End-to-End Automated Latent Fingerprint Identification With Improved DCNN-FFT Enhancement
2020
Frontiers in Robotics and AI
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To ensure the robustness of fingerprint matching against low quality latent fingerprint images, it is essential to include a good fingerprint enhancement algorithm before minutiae extraction and matching ...
One of the critical steps used in automatic latent fingerprint matching is to automatically extract reliable minutiae from fingerprint images. ...
In the latent fingerprint scenario, manual matching of an unknown latent fingerprint against a large fingerprint database is a tiring process and practically not feasiblemanual intervention in fingerprint ...
doi:10.3389/frobt.2020.594412
pmid:33501354
pmcid:PMC7805758
fatcat:ap3iykt34naark7cs7floomzci
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