Proceedings ArticleDOI
Fingerprint matching and similarity checking system using minutiae based technique
Manickam Adhiyaman,D. Ezhilmaran +1 more
- pp 1-4
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TLDR
This proposed algorithm has been formulated based on minutiae points which examine n number of images and aims to monitor the matching and similarity for two or more fingerprint images simultaneously.Abstract:
Fingerprint matching is one of the most important problems in Automatic Fingerprint Identification System (AFIS). It has emerged as an effective tool for human recognition due to its uniqueness, universality and invariability. The significance of this work is to monitor the matching and similarity for two or more fingerprint images simultaneously. This proposed algorithm has been formulated based on minutiae points which examine n number of images.read more
Citations
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Journal ArticleDOI
Bio-medical and latent fingerprint enhancement and matching using advanced scalable soft computing models
Adhiyaman Manickam,Ezhilmaran Devarasan,Gunasekaran Manogaran,Naveen Chilamkurti,Vijayarajan Vijayan,Shubham Saraff,R. D. Jackson Samuel,Raja Krishnamoorthy +7 more
TL;DR: The proposed model for enhancement of latent fingerprint and matching algorithm, which requires manually marked (ground-truth) ROI latent fingerprints, indicates that by fusing the proposed enhancement algorithm, the matching precision has fundamentally moved forward.
Journal ArticleDOI
Holistic cognitive conflict chain management framework in supply chain management
TL;DR: In this paper, a holistic cognitive conflict chain management framework (HCCCMF) is proposed to enhance quality customer service and supply chain management efficiency, which reduces interruption during the process and the cost of raw materials, labour, and energy.
Journal ArticleDOI
A review study on latent fingerprint recognition techniques
TL;DR: Different accessible strategies and methods that have been utilized as a part of the past exploration concentrates on furthermore gives the bearing to further research in the different field of inactive unique finger impression application.
DissertationDOI
Interoperability Analysis of Non-Contact Fingerprinting Devices vs. Contact-Based Fingerprinting Devices
TL;DR: Interoperability Analysis of Non-Contact Fingerprinting Devices vs. Contact-Based Fingerprints indicates that non-Contact fingerprinting devices are more compatible with contact-based fingerprinting systems.
Proceedings ArticleDOI
Efficient Minutiae Matching Algorithm for Fingerprint Recognition
TL;DR: In this work, two publically available fingerprint datasets are utilized and the accuracy of fingerprint recognition is evaluated using the performance measures namely False Matching Ratio (FMR), False Non Matching ratio (FNMR) and Threshold.
References
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Book
Handbook of Fingerprint Recognition
TL;DR: This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
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.
Proceedings ArticleDOI
A minutiae matching algorithm in fingerprint verification
Xiping Luo,Jie Tian,Yan Wu +2 more
TL;DR: A minutiae matching algorithm which modified Jain et al.'s algorithm (1997) is proposed which can better distinguish two images from different fingers and is more robust to nonlinear deformation.
Proceedings ArticleDOI
Fingerprint Recognition
TL;DR: A novel method for Fingerprint recognition is considered using a combination of Fast Fourier Transform and Gabor Filters to enhancement the fingerprint image was captured using a UareU 4000 fingerprint reader of Digital Person, Inc.
Journal ArticleDOI
Latent Fingerprint Matching Using Descriptor-Based Hough Transform
TL;DR: A new fingerprint matching algorithm which is especially designed for matching latents and uses a robust alignment algorithm (descriptor-based Hough transform) to align fingerprints and measures similarity between fingerprints by considering both minutiae and orientation field information.