Document Analysis Systems V

This item is printed on demand - Print on Demand Titel. Neuware -OCR Features and Systems.- Relating Statistical Image Differences and Degradation Features.- Script Identification in Printed Bilingual Documents.- Optimal Feature Extraction for Bilingual OCR.- Machine Recognition of Printed Kannada Text.- An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents.- A Complete Tamil Optical Character Recognition System.- Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Images.- Multi-expert Seal Imprint Verification System for Bankcheck Processing.- Automatic Reading of Traffic Tickets.- Handwriting Recognition.- A Stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwriting Recognition.- Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition.- The Segmentation and Identification of Handwriting in Noisy Document Images.- The Impact of Large Training Sets on the Recognition Rate of Off-line Japanese Kanji Character Classifiers.- Automatic Completion of Korean Words for Open Vocabulary Pen Interface.- Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japanese Character Classifiers.- Closing Gaps of Discontinuous Lines: A New Criterion for Choosing the Best Prolongation.- Classifiers and Leaning.- Classifier Adaptation with Non-representative Training Data.- A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors.- Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis.- Discovering Rules for Dynamic Configuration of Multi-classifier Systems.- Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations.- Layout Analysis.- Correcting for Variable Skew.- Two Geometric Algorithms for Layout Analysis.- Text/Graphics Separation Revisited.- A Study on the Document Zone Content Classification Problem.- Logical Labeling of Document ImagesUsing Layout Graph Matching with Adaptive Learning.- A Ground-Truthing Tool for Layout Analysis Performance Evaluation.- Simple Layout Segmentation of Gray-Scale Document Images.- Tables and Forms.- Detecting Tables in HTML Documents.- Document-Form Identification Using Constellation Matching of Keywords Abstracted by Character Recognition.- Table Detection via Probability Optimization.- Complex Table Form Analysis Using Graph Grammar.- Detection Approaches for Table Semantics in Text.- A Theoretical Foundation and a Method for Document Table Structure Extraction and Decompositon.- Text Extraction.- Fuzzy Segmentation of Characters in Web Images Based on Human Colour Perception.- Word and Sentence Extraction Using Irregular Pyramid.- Word Searching in Document Images Using Word Portion Matching.- Scene Text Extraction in Complex Images.- Text Extraction in Digital News Video Using Morphology.- Indexing and Retrieval.- Retrieval by Layout Similarity of Documents Represented with MXY Trees.- Automatic Indexing of Newspaper Microfilm Images.- Improving Document Retrieval by Automatic Query Expansion Using Collaborative Learning of Term-Based Concepts.- Spotting Where to Read on Pages - Retrieval of Relevant Parts from Page Images.- Mining Documents for Complex Semantic Relations by the Use of Context Classification.- Hairetes: A Search Engine for OCR Documents.- Text Verification in an Automated System for the Extraction of Bibliographic Data.- Document Engineering.- smartFIX: A Requirements-Driven System for Document Analysis and Understanding.- Machine Learning of Generalized Document Templates for Data Extraction.- Machine Learning of Generalized Document Templates for Data Extraction.- Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM).- Electronic Document Publishing Using DjVu.- DAN: An Automatic Segmentation and Classification Engine for Paper Documents.- Document Rever.