Symbol Spotting in Digital Libraries

版本说明：2010

作     者：Marçal Rusiñol Josep Lladós 

I S B N：(纸本) 9781849962070 

出 版 社：Springer London 

出 版 年：2010年

主 题 词：Digital libraries Image analysis Computer graphics Pattern recognition systems Signs and symbols 

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 120501[管理学-图书馆学] 120502[管理学-情报学] 

摘      要：The specific problem of symbol recognition in graphical documents requires additional techniques to those developed for character recognition. The most well-known obstacle is the so-called Sayre paradox: Correct recognition requires good segmentation, yet improvement in segmentation is achieved using information provided by the recognition process. This dilemma can be avoided by techniques that identify sets of regions containing useful information. Such symbol-spotting methods allow the detection of symbols in maps or technical drawings without having to fully segment or fully recognize the entire content. This unique text/reference provides a complete, integrated and large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book examines a number of features and descriptors, from basic photometric descriptors commonly used in computer vision techniques to those specific to graphical shapes, presenting a methodology which can be used in a wide variety of applications. Additionally, readers are supplied with an insight into the problem of performance evaluation of spotting methods. Some very basic knowledge of pattern recognition, document image analysis and graphics recognition is assumed. Topics and features: * Includes a Foreword by Professor Karl Tombre, Director of the INRIA Nancy - Grand Est research center and Editor-in-Chief of Springers International Journal on Document Analysis and Recognition * Introduces the problems of symbol spotting and focused retrieval, outlining an architecture for solving these problems * Examines techniques in computer vision for recognizing objects in scenes, and their application to the specific problem of spotting graphical symbols in documents * Describes a method to determine probable locations of symbols in technical drawings which makes use of vectorial signatures as symbol descriptors * Presents a spotting method which uses a prototype-based search as