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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)  
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

B. Raja Rao
2017 International Journal for Research in Applied Science and Engineering Technology  
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

Shree Nandhini. P
2019 International Journal of Scientific Research in Science Engineering and Technology  
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

Uttam U. Deshpande, V. S. Malemath, Shivanand M. Patil, Sushma V. Chaugule
2020 Frontiers in Robotics and AI  
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

Anush Sankaran, Mayank Vatsa, Richa Singh
2013 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
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

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  ...  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

Nigel M. Allinson, Jeevandra Sivarajah, Ian Gledhill, Michael Carling, Lesley J. Allinson
2007 IEEE Transactions on Information Forensics and Security  
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

Anush Sankaran, Akshay Agarwal, Rohit Keshari, Soumyadeep Ghosh, Anjali Sharma, Mayank Vatsa, Richa Singh
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
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

B. T. Ulery, R. A. Hicklin, J. Buscaglia, M. A. Roberts
2011 Proceedings of the National Academy of Sciences of the United States of America  
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

Shoba Dyre, Sumathi C.P
2016 International Journal of Computer Science & Engineering Survey  
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

Namrata D Lokaksha
2019 International Journal for Research in Applied Science and Engineering Technology  
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

Himanshi H, Anit Kaur
2016 International Journal of Computer Applications  
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]

Raghuram Srinivas, Niraj Verma, Eric C Larson, Elfi Kraka
2020 bioRxiv   pre-print
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

Anush Sankaran, Aayush Jain, Tarun Vashisth, Mayank Vatsa, Richa Singh
2017 Information Fusion  
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

Uttam U. Deshpande, V. S. Malemath, Shivanand M. Patil, Sushma V. Chaugule
2020 Frontiers in Robotics and AI  
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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