Proceedings ArticleDOI
Latent fingerprint from multiple surfaces: Database and quality analysis
Anush Sankaran,Akshay Agarwal,Rohit Keshari,Soumyadeep Ghosh,Anjali Sharma,Mayank Vatsa,Richa Singh +6 more
- pp 1-6
TLDR
This research creates a novel multi-surface latent fingerprint database and makes it publicly available for the research community to characterize the quality of latent fingerprints and compute the matching performance to analyze the effect of different surfaces.Abstract:
Latent fingerprints are lifted from multiple types of surfaces, which vary in material type, texture, color, and shape. These differences in the surfaces introduce significant intra-class variations in the lifted prints such as availability of partial print, background noise, and poor ridge structure quality. Due to these observed variations, the overall quality and the matching performance of latent fingerprints vary with respect to surface properties. Thus, characterizing the performance of latent fingerprints according to the surfaces they are lifted from is an important research problem that needs attention. In this research, we create a novel multi-surface latent fingerprint database and make it publicly available for the research community. The database consists of 551 latent fingerprints from 51 subjects lifted from eight different surfaces. Using existing algorithms, we characterize the quality of latent fingerprints and compute the matching performance to analyze the effect of different surfaces.read more
Citations
More filters
Journal ArticleDOI
Automated latent fingerprint identification system: A review.
TL;DR: An extensive review of the work done by eminent researchers in the development of an automated latent fingerprint identification system is provided.
Proceedings ArticleDOI
Latent Fingerprint Enhancement Using Generative Adversarial Networks
TL;DR: A Generative Adversarial Network based latent fingerprint enhancement algorithm is proposed to enhance the poor quality ridges and predict the ridge information and helps the standard feature extraction and matching algorithms to boost latent fingerprints matching performance.
Journal ArticleDOI
Latent Fingerprint Database Using Reflected Ultra Violet Imaging System
TL;DR: Level 3 features, particularly pores are extracted using Fully Convolution Neural Network (FCN) from the collected latent fingerprints using the RUVIS, which plays a significant role in matching these latent impressions with plain impressions.
Book ChapterDOI
On Training Generative Adversarial Network for Enhancement of Latent Fingerprints
TL;DR: The proposed latent fingerprint enhancement model preserves ridge structure including minutiae, and discusses the role of training data i.e. various noise models which should be considered for modeling a latent fingerprint, during training a GAN.
Journal ArticleDOI
Fingermark quality assessment framework with classic and deep learning ensemble models
TL;DR: In this article , a predictive framework for automated fingermark quality assessment (AFQA) is proposed, which bridges the gap between the classic machine learning approach with handcrafted features and the modern deep learning paradigm, evaluate the advantages and disadvantages of these methodologies, and provide the rationale and direction for future development of AFQA methods.
References
More filters
Proceedings ArticleDOI
Vlfeat: an open and portable library of computer vision algorithms
Andrea Vedaldi,Brian Fulkerson +1 more
TL;DR: VLFeat is an open and portable library of computer vision algorithms that includes rigorous implementations of common building blocks such as feature detectors, feature extractors, (hierarchical) k-means clustering, randomized kd-tree matching, and super-pixelization.
Book
Strengthening forensic science in the United States : a path forward
TL;DR: Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community as discussed by the authors.
Journal ArticleDOI
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition
TL;DR: The Minutia Cylinder-Code is introduced, a novel representation based on 3D data structures (called cylinders), built from minutiae distances and angles and the feasibility of obtaining a very effective fingerprint recognition implementation for light architectures is demonstrated.
Journal ArticleDOI
Decision-level fusion in fingerprint verification
Salil Prabhakar,Anil K. Jain +1 more
TL;DR: Four different fingerprint matching algorithms are combined using the proposed scheme to improve the accuracy of a fingerprint verification system and it is shown that a combination of multiple impressions or multiple fingers improves the verification performance by more than 4% and 5%, respectively.
Book ChapterDOI
Fingerprint Quality Indices for Predicting Authentication Performance
TL;DR: Both quality indices for fingerprint images are developed and by applying a quality-based weighting scheme in the matching algorithm, the overall matching performance can be improved; a decrease of 1.94% in EER is observed on the FVC2002 DB3 database.