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Proceedings ArticleDOI

Hierarchical fusion for matching simultaneous latent fingerprint

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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.

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Citations
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Proceedings ArticleDOI

Improving the Efficiency of Automated Latent Fingerprint Identification Using Stack of Convolutional Auto-encoder

TL;DR: In this paper, a method for improving the efficiency of latent fingerprint segmentation and detection system is presented, which is based on the assumption that including detection of relevant structure of interest from latent fingerprint image into an effective segmentation model pipeline improves the effectiveness of the model and efficiency of the automated segmentation.
Journal ArticleDOI

A Robust Biometric Authentication and PIN Distribution Technique for Secure Mobile Commerce Applications

TL;DR: This study looks to provide a high secure and efficient solution for m-commerce applications that involves fusion of Minutiae Maps (MM) and Orientation Maps (OM) for fingerprint feature extraction.
References
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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.
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MCYT baseline corpus: a bimodal biometric database

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.
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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

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.
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