Download or read book Automatic Signature Verification Using Segmentation written by Md. Asraful Haque and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Progress In Automatic Signature Verification written by Rejean Plamondon and published by World Scientific. This book was released on 1994-10-28 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights some of the multidisciplinary aspects of automatic signature verification. The first two chapters serve as an introduction. The first constitutes a review of the literature of the past five years. The second addresses the problem of parallel strategies to construct and optimize feature vectors to describe a signature. The remaining six chapters are divided into two sections: research on static systems and research on dynamic systems. The section on off-line systems describes a system, based on cooperative neural networks for the automatic processing of signatures on checks, for background removal as well as a model-based system that segments the signature into elements which are then processed locally and globally to evaluate the similarity between two specimens. The three papers on on-line systems compare three verification methods, based on statistical models of signature features using the same benchmark, describe a step-wise verification method based on the analysis of the signature components and describe the different design phases of an operational system, focusing on the various decisions that have to be made throughout the development of such a prototype.
Download or read book Advances In Digital Handwritten Signature Processing A Human Artefact For E society written by Giuseppe Pirlo and published by World Scientific. This book was released on 2014-05-30 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of e-society, handwritten signature processing is an enabling technology in a multitude of fields in the “digital agenda” of many countries, ranging from e-health to e-commerce, from e-government to e-justice, from e-democracy to e-banking, and smart cities. Handwritten signatures are very complex signs; they are the result of an elaborate process that depends on the psychophysical state of the signer and the conditions under which the signature apposition process occurs. Notwithstanding, recent efforts from academies and industries now make possible the integration of signature-based technologies into other standard equipment to form complete solutions that are able to support the security requirements of today's society.Advances in Digital Handwritten Signature Processing primarily provides an update on the most fascinating and valuable researches in the multifaceted field of handwritten signature analysis and processing. The chapters within also introduce and discuss critical aspects and precious opportunities related to the use of this technology, as well as highlight fundamental theoretical and applicative aspects of the field. This book contains papers by well-recognized and active researchers and scientists, as well as by engineers and commercial managers working for large international companies in the field of signature-based systems for a wide range of applications and for the development of e-society.This publication is devoted to both researchers and experts active in the field of biometrics and handwriting forensics, as well as professionals involved in the development of signature-based solutions for advanced applications in medicine, finance, commerce, banking, public and private administrations, etc. Handwritten Signature Processing may also be used as an advanced textbook by graduate students.
Download or read book Progress in Pattern Recognition Image Analysis and Applications written by José Ruiz-Shulcloper and published by Springer. This book was released on 2008-09-17 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008. The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering.
Download or read book Progress in Automatic Signature Verification written by Rjean Plamondon and published by World Scientific. This book was released on 1994 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights some of the multidisciplinary aspects of automatic signature verification. The first two chapters serve as an introduction. The first constitutes a review of the literature of the past five years. The second addresses the problem of parallel strategies to construct and optimize feature vectors to describe a signature. The remaining six chapters are divided into two sections: research on static systems and research on dynamic systems. The section on off-line systems describes a system, based on cooperative neural networks for the automatic processing of signatures on checks, for background removal as well as a model-based system that segments the signature into elements which are then processed locally and globally to evaluate the similarity between two specimens. The three papers on on-line systems compare three verification methods, based on statistical models of signature features using the same benchmark, describe a step-wise verification method based on the analysis of the signature components and describe the different design phases of an operational system, focusing on the various decisions that have to be made throughout the development of such a prototype.
Download or read book Hoved Katalog fra N P Rasmussens Handelsgartneri Odense written by and published by . This book was released on 1895 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Structured Document Image Analysis written by Henry S. Baird and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document image analysis is the automatic computer interpretation of images of printed and handwritten documents, including text, drawings, maps, music scores, etc. Research in this field supports a rapidly growing international industry. This is the first book to offer a broad selection of state-of-the-art research papers, including authoritative critical surveys of the literature, and parallel studies of the architectureof complete high-performance printed-document reading systems. A unique feature is the extended section on music notation, an ideal vehicle for international sharing of basic research. Also, the collection includes important new work on line drawings, handwriting, character and symbol recognition, and basic methodological issues. The IAPR 1990 Workshop on Syntactic and Structural Pattern Recognition is summarized,including the reports of its expert working groups, whose debates provide a fascinating perspective on the field. The book is an excellent text for a first-year graduate seminar in document image analysis,and is likely to remain a standard reference in the field for years.
Download or read book Fundamentals in Handwriting Recognition written by Sebastiano Impedovo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years researchers in the field of Handwriting Recognition were considered to be working in an area of minor importance in Pattern Recog nition. They had only the possibility to present the results of their research at general conferences such as the ICPR or publish their papers in journals such as some of the IEEE series or PR, together with many other papers generally oriented to the more promising areas of Pattern Recognition. The series of International Workshops on Frontiers in Handwriting Recog nition and International Conferences on Document Analysis and Recognition together with some special issues of several journals are now fulfilling the expectations of many researchers who have been attracted to this area and are involving many academic institutions and industrial companies. But in order to facilitate the introduction of young researchers into the field and give them both theoretically and practically powerful tools, it is now time that some high level teaching schools in handwriting recognition be held, also in order to unite the foundations of the field. Therefore it was my pleasure to organize the NATO Advanced Study Institute on Fundamentals in Handwriting Recognition that had its origin in many exchanges among the most important specialists in the field, during the International Workshops on Frontiers in Handwriting Recognition.
Download or read book A Neural network based Online Signature Verification System Using Vector and Autoregressive Modeling and a Novel Velocity Segmentation Scheme written by Tarig Abd-Elgadir-Mohammed Osman and published by . This book was released on 2009 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new online handwritten signature verification system that employs both shape and dynamic features is presented in this work. The main design objective of the system is to obtain a balance of the trade-off between the system's accuracy and practicality. After acquiring the signature sequence using a tablet device, the acquired raw signature sequence is then preprocessed to prepare the sequence for normalization purposes. Next, the preprocessed signature sequence is divided into a number of smaller segments based on a novel scheme developed in this work, which uses the minimum velocity points of the signature sequence as segmentation boundaries. Each of the uniformly spatial-spaced signature segment is treated as a two element vector sequence (x,y,), and modeled by a multivariate autoregressive (MVAR) model. A one-dimensional autoregressive AR model is also used to model the velocity signal of the signature sequence after smoothing the sequence by applying a Finite Impulse Response (FIR) low pass filter. The extracted shape features are the MVAR coefficients from the pen position information of each segment; and the extracted dynamic features are the AR coefficients from the smoothed velocity signal of the signature sequence in addition to the total execution time of the signature. The extracted features vector is reprocessed by a newly developed Features Consistency Filter, a statistically based mathematical algorithm that weights the extracted features, keeps the most consistent features, and eliminates the inconsistent ones. The filtered extracted features are used together to train a Multi-Layer Perception (MLP) Neural Network. A performance evaluation of the system on the development signature database showed system accuracy of 99.8% in a Random Forgery Test (RFT), 98.8% in a Casual Forgery Test (CFT) and 98.63% in a Skilled Forgery Test (SFT). The dissertation also addresses the implementation of a practical system in terms of designing the system to be trained with fewer samples, proposing overall architecture for the practical implementation, and presenting a real time demonstration setup of the system.
Download or read book Automatic Signature Verification written by Réjean Plamondon and published by . This book was released on 1994 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Offline Handwritten Signature Verification Using Radial Basis Function Neural Networks written by and published by George Azzopardi. This book was released on with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Off line Signature Verification Using Novel Feature Extraction Techniques and Trajectory Recovery written by Vu Minh Nguyen and published by . This book was released on 2012 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Feature extraction is an important process in automatic off-line signature verification systems. In this process, only the information that helps to identify the authenticity of questioned signatures is extracted and retained. Amongst the numerous feature extraction techniques investigated by researchers, grid segmentation schemes have been employed more favourably due to their encouraging results. The research presented in this dissertation focuses on improving the performance of Support Vector Machines (SVMs) based off-line signature verification systems using novel feature extraction techniques. The research began with an in-depth investigation and comparative performance analysis of the Modified Direction Feature (MDF), a structural feature extraction technique. Since the MDF is known for its relatively high accuracies in the cursive character recognition problem, it has been suggested that the performance of the MDF would be as encouraging in verifying Western (English) signatures due to the "cursive appearance" of the signatures. The other features employed for comparative studies were the two grid-based features proposed by Francesco Camastra and Wakabayashi et al. (Gradient feature). The former feature captures the information about the distribution of the foreground pixels in each grid cell whilst the latter utilises the directional information available. The comparisons of these state-of-the-art techniques set the foundation for the development of the novel feature extraction techniques proposed. In total, three novel local features and four global features were proposed and investigated. The local features include Gaussian Grid, Curvature Map, Variance and the local features are New Ratio, Energy, Trajectory Length, Moment. Amongst the local features proposed, the Gaussian Grid feature significantly outperformed all the state-of-the-art features mentioned above. Nevertheless, the combination of another particularly small-dimensional local feature, the Variance feature, with the global features also outperformed the MDF and the Camastra features, and closely approximates the performance of the Gradient feature. The total dimension of this feature set was only 33 compared to 120 of the MDF. This finding emphasizes the capability of small-dimensional global features.
Download or read book Automatic Signature Verification written by Christopher E. Strangio and published by . This book was released on 1976 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Signature Recognition Using Clustering Techniques written by Vinayak Bharadi and published by LAP Lambert Academic Publishing. This book was released on 2012-03 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometric authentication techniques are in high demand for entrance monitoring and security systems. The techniques must be cheap, reliable and, simple. Handwritten signature verification satisfies these requirements. Signature Recognition is a very well known area in Biometrics. Signature of a person is one of the important biometric attribute, has been used for centuries as an authentication measure. In current era signatures are important in business, banking, legal application areas. With the tremendous developments in computer technology and advancements in programming platforms the field of biometrics has seen increments with leaps and bounds. In this book we have discussed an automatic off-line signature verification and forgery detection system based on clustering technique. This system uses the Vector Quantization, Walsh Coefficients, Geometric centers, Grid and Texture features as well as local and Global features of a static handwritten signature.
Download or read book Automatic Signature Verification System Description and Field Test Results written by C. N. Liu and published by . This book was released on 1978 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Signature Verification written by N. M. Herbst and published by . This book was released on 1976 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
