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Automatic Bankcheck Processing


Automatic Bankcheck Processing
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Automatic Bankcheck Processing


Automatic Bankcheck Processing
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Author : Sebastiano Impedovo
language : en
Publisher: World Scientific
Release Date : 1997

Automatic Bankcheck Processing written by Sebastiano Impedovo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Business & Economics categories.


The widespread use of bankchecks in daily life makes the development of check-reading systems of fundamental relevance to banks and other financial institutions. This will improve productivity and allow advanced customer services. Therefore, many industrial companies and academic research laboratories have recently been attracted to this field, which involves several aspects, like image acquisition and preprocessing, layout analysis, preprinted data identification and recognition, user-entered data extraction, recognition of handwritten characters and words, and signature verification.The contributions collected in this book present the state of the art in the field of complete systems for bankcheck recognition, and explore the most promising trends in key aspects of this research field.



Advances In Neural Networks Isnn 2007


Advances In Neural Networks Isnn 2007
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Author : Derong Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-16

Advances In Neural Networks Isnn 2007 written by Derong Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-16 with Computers categories.


This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.



Advances In Handwriting Recognition


Advances In Handwriting Recognition
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Author : Seong-whan Lee
language : en
Publisher: World Scientific
Release Date : 1999-06-01

Advances In Handwriting Recognition written by Seong-whan Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-01 with Computers categories.


Advances in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998. Most of the papers have been expanded or extensively revised to include helpful discussions, suggestions or comments made during the workshop.



Pattern Recognition And Machine Vision


Pattern Recognition And Machine Vision
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Author : Patrick Shen-Pei Wang
language : en
Publisher: River Publishers
Release Date : 2010

Pattern Recognition And Machine Vision written by Patrick Shen-Pei Wang and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


In recent years, there has been a growing interest in the fields of pattern recognition and machine vision in academia and industries. New theories have been developed with new technology and systems designs in both hardware and software. They are widely applied to our daily life to solve real problems in diverse areas such as science, engineering, agriculture, e-commerce, education, robotics, government, medicine, games and animation, medical imaging analysis and diagnosis, military, and national security. The foundation of this field can be traced back to the late Prof. King-Sun Fu, one of the founding fathers of pattern recognition, who, with visionary insight, founded the International Association for Pattern Recognition in 1978. Almost 30 years later, the world has witnessed this field's rapid growth and development. It is probably true to say that most people are affected by or use applications of pattern recognition in daily life. Today, on the eve of 25th anniversary of the unfortunate and untimely passing of Prof. Fu, we are proud to produce this collection works from world renowned professionals and experts in pattern recognition and machine vision in honor and memory of the late Prof. King-Sun Fu. We hope this book will help further promote not only fundamental principles, systems, and technologies but also the vast range of applications that help in solving problems in daily life.



Machine Learning


Machine Learning
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Author : Yagang Zhang
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-02-01

Machine Learning written by Yagang Zhang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Games & Activities categories.


Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.



Machine Learning For Audio Image And Video Analysis


Machine Learning For Audio Image And Video Analysis
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Author : Francesco Camastra
language : en
Publisher: Springer
Release Date : 2015-07-21

Machine Learning For Audio Image And Video Analysis written by Francesco Camastra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-21 with Computers categories.


This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.



Smart Electronic Devices


Smart Electronic Devices
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Author : Yogesh Kumar Verma
language : en
Publisher: CRC Press
Release Date : 2025-09-16

Smart Electronic Devices written by Yogesh Kumar Verma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Technology & Engineering categories.


The book analyzes the use of smart medical devices that use artificial intelligence and machine learning to analyze medical images, detect diseases, and assist in diagnosis. It further focuses on real-world applications of artificial intelligence and machine learning in smart electronic devices, demonstrating how these technologies are being used in various industries, such as healthcare, automotive, finance, and consumer electronics. Features: Explores how cloud and edge computing work together to enhance the capabilities and performance of smart devices, enabling a seamless user experience and facilitating the growth of the Internet of Things ecosystem. Discusses the use of smart devices within a smart home system, exploring the seamless connectivity, interoperability, and centralized control. Explains the advancements in smart traffic management and smart parking systems, which leverage cutting-edge technologies to address the growing challenges of urban mobility. Surveys the growing importance of smart energy management and the integration of renewable energy sources in the pursuit of a sustainable and eco-friendly energy landscape. Covers the dynamic relationship between the adoption of smart devices and artificial intelligence technologies, and the diverse regulatory frameworks governing these innovations. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics, and communications engineering, computer science and engineering, and biomedical engineering.



Advances In Document Image Analysis


Advances In Document Image Analysis
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Author : Nabeel A. Murshed
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-10-22

Advances In Document Image Analysis written by Nabeel A. Murshed and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-10-22 with Technology & Engineering categories.


This book constitutes the refereed proceedings of the First Brazilian Symposium on Document Image Analysis, BSDIA'97, held in Curitiba in November 1997. The volume presents 19 revised full papers selected from 30 submissions as well as eight full-paper invited contributions by internationally leading authorities. The invited papers give a unique survey of the state of the art in the area. The selected papers are organized in sections on low level processing, document processing and retrieval, handwriting recognition, signature verification, and application systems.



Automated Biometrics


Automated Biometrics
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Author : David D. Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Automated Biometrics written by David D. Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.


Biometrics-based authentication and identification are emerging as the most reliable method to authenticate and identify individuals. Biometrics requires that the person to be identified be physically present at the point-of-identification and relies on `something which you are or you do' to provide better security, increased efficiency, and improved accuracy. Automated biometrics deals with physiological or behavioral characteristics such as fingerprints, signature, palmprint, iris, hand, voice and face that can be used to authenticate a person's identity or establish an identity from a database. With rapid progress in electronic and Internet commerce, there is also a growing need to authenticate the identity of a person for secure transaction processing. Designing an automated biometrics system to handle large population identification, accuracy and reliability of authentication are challenging tasks. Currently, there are over ten different biometrics systems that are either widely used or under development. Some automated biometrics, such as fingerprint identification and speaker verification, have received considerable attention over the past 25 years, and some issues like face recognition and iris-based authentication have been studied extensively resulting in successful development of biometrics systems in commercial applications. However, very few books are exclusively devoted to such issues of automated biometrics. Automated Biometrics: Technologies and Systems systematically introduces the technologies and systems, and explores how to design the corresponding systems with in-depth discussion. The issues addressed in this book are highly relevant to many fundamental concerns of both researchers and practitioners of automated biometrics in computer and system security.



Image Analysis And Recognition


Image Analysis And Recognition
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Author : Aurelio Campilho
language : en
Publisher: Springer
Release Date : 2012-06-21

Image Analysis And Recognition written by Aurelio Campilho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-21 with Computers categories.


The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling.