Journal ArticleDOI
Fingerprint enhancement using STFT analysis
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TLDR
A new approach for fingerprint enhancement based on short time Fourier transform (STFT) Analysis is introduced and the algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local ridge frequency.About:
This article is published in Pattern Recognition.The article was published on 2007-01-01. It has received 381 citations till now. The article focuses on the topics: Fingerprint recognition & Fingerprint (computing).read more
Citations
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Journal ArticleDOI
Underwater scene prior inspired deep underwater image and video enhancement
TL;DR: The proposed UWCNN model directly reconstructs the clear latent underwater image, which benefits from the underwater scene prior which can be used to synthesize underwater image training data, and can be easily extended to underwater videos for frame-by-frame enhancement.
Journal ArticleDOI
Deep Learning for Biometrics: A Survey
TL;DR: This article surveys 100 different approaches that explore deep learning for recognizing individuals using various biometric modalities and discusses how deep learning methods can benefit the field of biometrics and the potential gaps that deep learning approaches need to address for real-world biometric applications.
Journal ArticleDOI
Orientation Field Estimation for Latent Fingerprint Enhancement
TL;DR: Experimental results on the challenging NIST SD27 latent fingerprint database and an overlapped latent fingerprints database demonstrate the advantages of the proposed orientation field estimation algorithm over conventional algorithms.
Journal ArticleDOI
Segmentation and Enhancement of Latent Fingerprints: A Coarse to Fine Ridge Structure Dictionary
Kai Cao,Eryun Liu,Anil K. Jain +2 more
TL;DR: A dictionary-based approach is proposed for automatic latent segmentation and enhancement towards the goal of achieving “lights-out” latent identification systems and experimental results show that the proposed algorithm outperforms the state-of-the-art segmentations and enhancement algorithms and boosts the performance of a state- of- the-art commercial latent matcher.
References
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Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
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Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
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Image Processing: Analysis and Machine Vision
TL;DR: The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.