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Latent Fingerprint Identification Using Deep Learning Method

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Segmentation and Separation of Overlapped Latent Fingerprints

algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and;

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Deep Learning for Biometrics

identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging;

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Advances in Fingerprint Technology

of methods for developing latent prints and in the growth of imaging and AFIS technologies. This fully updated Second Edition of the bestseller;

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The Science of Fingerprints

of identification, fingerprinting has been by far the least fallible and most feasible method developed in the past century. "The Science of Fingerprints;

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Latent Fingerprint Examination

Fingerprints have provided a valuable method of personal identification in forensic science and criminal investigations for over 100 years;

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Automated Fingerprint Identification

process. This book also provides the current landscape of latent Automated Fingerprint Identification System (AFIS) interoperability, meaning the;

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Contactless 3D Fingerprint Identification

This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including;

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Fingerprints

basics of analysis, providing a brief history, systematic methods of identification, fingerprint pattern types and their associated terminologies;

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Fingerprints

basics of analysis, providing a brief history, systematic methods of identification, fingerprint pattern types and their associated terminologies;

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Lee and Gaensslen's Advances in Fingerprint Technology

model for quantitatively interpreting and assessing minutiae in a print Methods for digital and chemical imaging of latent prints;

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Lee and Gaensslen's Advances in Fingerprint Technology

fuming process An update on ninhydrin analogs Emerging trends in print development using nanotechnology Latent print recovery and;

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An Introduction to Variational Autoencoders

method for jointly learning deep latent-variable models and corresponding inference models using stochastic gradient descent. The framework has a;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;

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Postmortem Fingerprinting and Unidentified Human Remains

Fingerprint identification is the most efficient, rapid, and cost-effective forensic identification modality. Postmortem Fingerprinting and;

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Automated Fingerprint Identification Systems (AFIS)

An easy-to-understand synopsis of identification systems, presenting in simple language the process of fingerprint identification, from the;

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Fundamentals of Fingerprint Analysis, Second Edition

through to illustrate how it is utilized in the courtroom. An essential learning tool for classes in fingerprinting and impression;

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Fundamentals of Fingerprint Analysis, Second Edition

through to illustrate how it is utilized in the courtroom. An essential learning tool for classes in fingerprinting and impression evidence;

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Fingerprint Analysis Laboratory Workbook, Second Edition

Fingerprint collection and analysis may be performed as part of many jobs, including crime scene technician, latent print examiner;

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Fingerprint Analysis Laboratory Workbook, Second Edition

Fingerprint collection and analysis may be performed as part of many jobs, including crime scene technician, latent print examiner;

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Cool Careers for Girls as Crime Solvers

Profiles ten women with careers in different areas of crime solving, including firearms examiner, forensic anthropolgist, and latent;

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Machine Learning

then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector;

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Multilingual Phone Recognition in Indian Languages

system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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