Download or read book Training Neural Networks for Reading Handwritten Amounts on Checks written by Rafael Palacios and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While reading handwritten text accurately is a difficult task for computers, the conversion of handwritten papers into digital format is necessary for automatic processing. Since most bank checks are handwritten, the number of checks is very high, and manual processing involves significant expenses, many banks are interested in systems that can read check automatically. This paper presents several approaches to improve the accuracy of neural networks used to read unconstrained numerals in the courtesy amount field of bank checks.
Download or read book Reading Courtesy Amounts on Handwritten Paper Checks written by Rafael Palacios and published by . This book was released on 2002 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of the rapid advances in computers and communication technologies, a number of large-scale applications continue to rely heavily on the use of paper as the dominant medium, either in an intra-organizational or an inter-organizational environment. One major example of this category of paper intensive applications is the check processing application. In a number of countries, the value of each check is read by human eyes before the check is physically transported, in stages, from the point it was presented to the location of the branch of the bank which issued the blank check to the concerned account holder. This process of manual reading of each check involves significant time and cost. In this paper, a new approach is proposed to read the numerical amount field on the check; this field is also called the courtesy amount field. In the case of check processing, the segmentation of unconstrained strings into individual digits is a challenging task because one needs to accommodate special cases involving: connected or overlapping digits, broken digits, and digits physically connected to a piece of stroke that belongs to a neighboring digit. The system described in this paper involves three stages: the segmentation of the string into a series of individual characters; the normalization of each isolated character; and the recognition of each character based on a neural network classifier.
Download or read book Handwritten Bank Check Recognition of Courtesy Amounts written by Rafael Palacios and published by . This book was released on 2004 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks, the segmentation of unconstrained strings into individual digits is a challenging task because of connected and overlapping digits, broken digits, and digits that are physically connected to pieces of strokes from neighboring digits. The proposed architecture involves four stages: segmentation of the string into individual digits, normalization, recognition of each character using a neural network classifier, and syntactic verification. Overall, this paper highlights the importance of employing a hybrid architecture that incorporates multiple approaches to provide high recognition rates. Keywords: Handwritten checks; Reading of unconstrained handwritten material; neural network.
Download or read book Hybrid Artificial Intelligent Systems written by Enrique Onieva and published by Springer. This book was released on 2015-05-29 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. The 60 papers published in this volume were carefully reviewed and selected from 190 submissions. They are organized in topical sections such as data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.
Download or read book Automatic Bankcheck Processing written by Sebastiano Impedovo and published by World Scientific. This book was released on 1997 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 10th International Conference on Soft Computing Models in Industrial and Environmental Applications written by Álvaro Herrero and published by Springer. This book was released on 2015-05-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2015), held in the beautiful and historic city of Burgos (Spain), in June 2015. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate and analyze very complex issues and phenomena. This Conference is mainly focused on its industrial and environmental applications. After a through peer-review process, the SOCO 2015 International Program Committee selected 41 papers, written by authors from 15 different countries. These papers are published in present conference proceedings, achieving an acceptance rate of 40%. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the International Program Committees for their hard work during the review process. This is a crucial issue for creation of a high standard conference and the SOCO conference would not exist without their help.
Download or read book Handwritten Bank Check Recognition of Courtesy Amounts written by Rafael Palacios and published by . This book was released on 2006 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks, the segmentation of unconstrained strings into individual digits is a challenging task because of connected and overlapping digits, broken digits, and digits that are physically connected to pieces of strokes from neighboring digits. The proposed architecture involves four stages: segmentation of the string into individual digits, normalization, recognition of each character using a neural network classifier, and syntactic verification. Overall, this paper highlights the importance of employing a hybrid architecture that incorporates multiple approaches to provide high recognition rates.
Download or read book Common LISP Modules written by Mark Watson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: While creativity plays an important role in the advancement of computer science, great ideas are built on a foundation of practical experience and knowledge. This book presents programming techniques which will be useful in both AI projects and more conventional software engineering endeavors. My primary goal is to enter tain, to introduce new technologies and to provide reusable software modules for the computer programmer who enjoys using programs as models for solutions to hard and interesting problems. If this book succeeds in entertaining, then it will certainly also educate. I selected the example application areas covered here for their difficulty and have provided both program examples for specific applications and (I hope) the method ology and spirit required to master problems for which there is no obvious solution. I developed the example programs on a Macintosh TM using the Macintosh Common LISP TM development system capturing screen images while the example programs were executing. To ensure portability to all Common LISP environments, I have provided a portable graphics library in Chapter 2. All programs in this book are copyrighted by Mark Watson. They can be freely used in any free or commercial software systems if the following notice appears in the fine print of the program's documentation: "This program contains software written by Mark Watson." No royalties are required. The program miniatures contained in this book may not be distributed by posting in source code form on public information networks, or in printed form without my written permission.
Download or read book Automatic Bankcheck Processing written by Horst Bunke and published by World Scientific. This book was released on 1997-12-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A System for Processing Handwritten Bank Checks Automatically written by Rafael Palacios and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the US and many other countries, bank checks are preprinted with the account number and the check number in MICB ink and format; as such, these two numeric fields can be easily read and processed using automated techniques. However, the amount field on a filled -in check is usually read by human eyes, and involves significant time and cost, especially when one considers that about 68 billion checks are processed per annum in the US alone. The system described in this paper uses the scanned image of a bank check to "read" the check. There are four main stages in the system that focus on: the detection of courtesy amount block within the image; the segmentation of string into characters; the recognition of isolated characters; and the post processing process that ensures correct recognition. The detection of courtesy amounts is performed using heuristic rules. These rules are applied after processing the image to translate the set of gray pixels into groups of pixels, which are considered as strings. The segmentation of the courtesy amount is the most difficult part of the process because of the largely unconstrained nature of handwritten amounts on checks. The proposed segmentation has been implemented as a recursive process that interacts with the recognition module. The recognition of the isolated characters is based on an array of neural networks that has been demonstrated to be very accurate and computationally efficient. Finally, the post-processing module is used to minimize the incidence of incorrect readings by verifying that the sequence of numbers, periods, and commas matches the correct syntax for the recognized value of the check. Several of the algorithms included in the system are generalizable and can also be applied to address other applications involving reading of handwritten inputs.
Download or read book Advances in Handwriting Recognition written by Seong-Whan Lee and published by World Scientific. This book was released on 1999 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers 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.
Download or read book An Introduction to Neural Networks written by James A. Anderson and published by MIT Press. This book was released on 1995 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas. Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject. The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
Download or read book Hybrid Artificial Intelligent Systems written by Emilio S. Corchado Rodriguez and published by Springer. This book was released on 2012-03-15 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.
Download or read book Session Based Recommender Systems Using Deep Learning written by Reza Ravanmehr and published by Springer Nature. This book was released on 2024-01-21 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
Download or read book DEEP LEARNING WITH KERAS FOR ABSOLUTE BEGINNERS written by Dr. ADAPA GOPI Associate Professor, Department of Computer Science and Engineering, KKR & KSR INSTITUTE OF TECHNOLOGY & SCIENCES Vinjanampadu (V),vatticherukuru(M),Guntur - 522017,A.P. and published by GCS PUBLISHERS. This book was released on with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning with Keras for ABSOLUTE BEGINNERS is written by DR. ADAPA GOPI, DR. PALVADI SRINIVAS KUMAR, KAMJULA LAKSHMI KANTH REDDY.
Download or read book Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1994-12-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.
Download or read book Introduction to Deep Learning A Beginner s Edition written by Harshitha Raghavan Devarajan and published by INENCE PUBLICATIONS PVT LTD. This book was released on 2024-08-10 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Introduction to Deep Learning: A Beginner’s Edition" is a comprehensive guide designed specifically for newcomers to the field of deep learning. This book provides an accessible introduction to the fundamental concepts, making it an ideal starting point for those who are curious about artificial intelligence and its rapidly expanding applications. The book begins with a clear explanation of what deep learning is and how it differs from traditional machine learning, covering the basics of neural networks and how they are used to recognize patterns and make decisions. One of the key strengths of this book is its practical, hands-on approach. Readers are guided through the process of building, training, and deploying neural networks using popular frameworks like TensorFlow and PyTorch. The step-by-step instructions, along with code snippets, allow even those with little to no programming experience to engage actively with the material. Visual aids, such as diagrams and flowcharts, are used throughout the book to simplify complex topics, making it easier for readers to grasp the inner workings of neural networks. The book also explores real-world applications of deep learning, highlighting its impact across various industries, including healthcare, autonomous vehicles, and natural language processing. By providing context and practical examples, the book demonstrates how deep learning is being used to solve complex problems and transform industries. In addition to the core content, the book includes a glossary of key terms, quizzes, and exercises to reinforce learning. "Introduction to Deep Learning: A Beginner’s Edition" is more than just a textbook; it is a complete learning experience designed to equip beginners with the knowledge and skills needed to embark on a successful journey into the world of deep learning.
