Forensic Pattern Recognition
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Author | : Robert D. Keppel |
Publisher | : Prentice Hall |
Total Pages | : 0 |
Release | : 2007 |
Genre | : Criminal investigation |
ISBN | : 9780132329484 |
A one-of-a-kind, this innovative reference presents a detailed look at the methods of forensic pattern recognition, preservation and processing for the five major forensic patterns. Written in clear, understandable language, it draws on the author's vast crime scene experience and research conducted at Sam Houston State University. Its in-depth coverage offers techniques excluded from other book and its focus is on how to preserve and process fingerprints, footwear impressions, tire impressions, bite marks and tool marks. Key illustrations and contributions from researchers make this a valuable resource in the field. Discusses intricate details of forensic pattern analyses necessary for proper recognition, preservation and processing of evidence. Includes coverage of latent and patent fingerprints, shoe impressions, known standards, tire impressions, three dimensional impression evidence, methods of comparing bite mark evidence, procedures for casting tool marks and more. Uses basic vocabulary to describe procedures for processing crime scenes with forensic patterns. Demonstrates forensic patterns and processing methods for the reader using concrete examples. This book has been designed and developed as a resources for police officers and investigators.
Author | : Zhaoxiang Zhang |
Publisher | : Springer |
Total Pages | : 197 |
Release | : 2019-01-02 |
Genre | : Computers |
ISBN | : 3030057925 |
This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018.The 16 full papers presented in this book were carefully reviewed and selected from 23 submissions. CVAUI Workshop: The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. IWCF Workshop: With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases. MIPPSNA Workshop: Its goal is to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 63 |
Release | : 2017-02-20 |
Genre | : Law |
ISBN | : 030945140X |
In July 2016 The National Academies of Sciences, Engineering, and Medicine convened a workshop with the goal of bringing together industrial and organizational (I-O) psychologists, experts on personnel selection and testing, forensic scientists, and other researchers whose work has a nexus with workforce needs in the forensic science field with a focus on pattern evidence. Participants reviewed the current status of selection and training of forensic scientists who specialize in pattern evidence and discussed how tools used in I-O psychology to understand elements of a task and measure aptitude and performance could address challenges in the pattern evidence domain of the forensic sciences. This publication summarizes the presentations and discussions from the workshop.
Author | : Massimo Tistarelli |
Publisher | : Springer |
Total Pages | : 361 |
Release | : 2017-02-01 |
Genre | : Computers |
ISBN | : 3319506730 |
This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related scenarios which cannot be solved with traditional approaches, such as attacks on security systems and the identification of abnormal/dangerous behaviors from remote cameras. Features: provides an in-depth analysis of the state of the art, together with a broad review of the available technologies and their potential applications; discusses potential future developments in the adoption of advanced technologies for the automated or semi-automated analysis of forensic traces; presents a particular focus on the acquisition and processing of data from real-world forensic cases; offers an holistic perspective, integrating work from different research institutions and combining viewpoints from both biometric technologies and forensic science.
Author | : Ivan Birch |
Publisher | : CRC Press |
Total Pages | : 235 |
Release | : 2020-07-07 |
Genre | : Law |
ISBN | : 0429761414 |
Gait analysis is the systematic study of human walking, using the eye and brain of experienced observers, augmented by instrumentation for measuring body movements, body mechanics, and the activity of the muscles. Since Aristotle’s work on gait analysis more than 2000 years ago, it has become an established clinical science used extensively in the healthcare and rehabilitation fields for diagnosis and treatment. Forensic Gait Analysis details the more recent, and rapidly developing, use of gait analysis in the forensic sciences. The book considers the use of observational gait analysis, based on video recordings, to assist in the process of identification or exclusion. With the increase in use of CCTV and surveillance systems over the last 20 to 30 years, there has been a steady and rapid increase in the use of gait as evidence. Currently, gait analysis is widely used in the UK in criminal investigations, with increasing awareness of its potential use in the US, Europe, and globally. The book details the history of the science, current practices, and of the emergent application to establish best-practice standards that conform to those of other forensic science disciplines. Engagement with the Forensic Science Regulator, and the Chartered Society of Forensic Sciences in the UK, and the International Association for Identification has helped to ensure and enhance the quality assurance of forensic gait analysis. However, there remains a fundamental lack of standardized training and methodology for use in evidentiary and investigative casework. This book fills that void, serving as one of the first to describe the current state of practice, capabilities and limitations, and to outline methods, standards of practice and expectations of the gait analyst as a forensic practitioner. Forensic Gait Analysis reflects current research and forensic practice and will serve as a state-of-the-art guide to the use of gait analysis in the forensic context—for both education and training purposes. It will be a welcome addition to the libraries of professionals in the areas of podiatry, gait analysis, forensic video analysis, law enforcement, and legal practice.
Author | : Verma, Brijesh |
Publisher | : IGI Global |
Total Pages | : 454 |
Release | : 2008-06-30 |
Genre | : Computers |
ISBN | : 1599048094 |
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
Author | : Bhabesh Deka |
Publisher | : Springer Nature |
Total Pages | : 678 |
Release | : 2019-11-25 |
Genre | : Computers |
ISBN | : 3030348695 |
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.
Author | : Richard G. Brereton |
Publisher | : John Wiley & Sons |
Total Pages | : 532 |
Release | : 2009-09-28 |
Genre | : Science |
ISBN | : 0470987251 |
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.
Author | : Adnan Amin |
Publisher | : Springer Science & Business Media |
Total Pages | : 1084 |
Release | : 1998-07-29 |
Genre | : Computers |
ISBN | : 9783540648581 |
Author | : Patrick S. P. Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 883 |
Release | : 2012-02-13 |
Genre | : Computers |
ISBN | : 3642224075 |
"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.