Proceedings ArticleDOI
Hierarchical fusion for matching simultaneous latent fingerprint
Anush Sankaran,Mayank Vatsa,Richa Singh +2 more
- pp 377-382
TLDR
An automated hierarchical fusion approach is proposed for fusing evidences from multiple latent impressions and IIITD simultaneous latent fingerprint database is prepared to drive further research in this area.Abstract:
Simultaneous latent fingerprints are a cluster of latent fingerprints that are concurrently deposited by the same person. Inherent challenges of latent fingerprints such as partial and smudgy ridge flow information, presence of background noise, and availability of less number of features makes it challenging to develop an automated system for simultaneous latent fingerprint matching. This research attempts to fill this gap by developing a fusion framework. 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) IIITD simultaneous latent fingerprint database is prepared to drive further research in this area. The proposed algorithm yields promising results on the simultaneous latent fingerprint database.read more
Citations
More filters
Proceedings ArticleDOI
Impact of Patch-Size on Classification Accuracy of Latent Fingerprint Image in Stacked Convolutional Auto-encoder based Segmentation and Detection
TL;DR: This paper provides a method to extract fingerprints from the latent fingerprint images dataset (IIIT-D) using a stack of convolutional auto-encoders using a color-based mask to establish stable layered architecture and an optimal amount of information in patches as input to these layers.
Proceedings ArticleDOI
MinNet: Minutia Patch Embedding Network for Automated Latent Fingerprint Recognition
TL;DR: MinNet as mentioned in this paper proposed a novel minutia patch embedding network (MinNet) model for latent fingerprint recognition task which jointly optimizes the spatial and angular distribution of neighboring minutiae and ridge flows of the patches.
Deep Learning for the Analysis of Latent Fingerprint Images
TL;DR: This dissertation proposes deep learning models and algorithms developed in the context of machine learning for automatic latent fingerprint image quality assessment, quality improvement, segmentation and matching, and proposes techniques that help speed-up convergence of a deep neural network and achieve a better estimation of the relation between a latent fingerprints image patch and its target class.
Improved Security Levels of WLAN through DBSPS
TL;DR: This work introduces a novel technique Double Bio-cryptic Security- aware Packet Scheduling (DBSPS) which strengthens security aspects in WLAN's and proves that proposal mechanism DBSPS is performing well than existing techniques in terms of the security.
Journal ArticleDOI
Filters to Dictionary based Enhancement Techniques for Latent Fingerprints Matchingc
TL;DR: An analysis of various latent fingerprint enhancement techniques by comparing the work of numerous researchers sheds some light on the issues and challenges in the process of latent fingerprint detection.
References
More filters
Journal ArticleDOI
Filterbank-based fingerprint matching
TL;DR: A filter-based fingerprint matching algorithm which uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode and is able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature.
Journal ArticleDOI
MCYT baseline corpus: a bimodal biometric database
Javier Ortega-Garcia,J. Fierrez-Aguilar,D. Simon,Janneth Gonzalez,Marcos Faundez-Zanuy,V. Espinosa,A. Satue,Inma Hernaez,Juan J. Igarza,Carlos E. Vivaracho,D. Escudero,Q. I. Moro +11 more
TL;DR: The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments.
Journal ArticleDOI
Likelihood Ratio-Based Biometric Score Fusion
TL;DR: Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.
Book
Quantitative-Qualitative Friction Ridge Analysis: An Introduction to Basic and Advanced Ridgeology
TL;DR: In this paper, the first step toward qualitative analysis of ridgeology has been taken towards a qualitative analysis in the field of Ridgeology, and the identification process of ridge identification has been described.
Journal ArticleDOI
Latent Fingerprint Matching
Anil K. Jain,Jianjiang Feng +1 more
TL;DR: The experimental results indicate that singularity, ridge quality map, and ridge flow map are the most effective features in improving the matching accuracy.