Evaluating the performance of techniques for the extraction of primitives from line drawings composed of horizontal and vertical lines, J.F. Arias et al the development of a general framework for intelligent document image retrieval, D. Doermann et al perdition of OCR accuracy using a neural network, J. Gonzalez et al evaluating Japanese document recognition in the Internet/intranet environment, T. Hong et al DocBrowse - a system for textual and graphical querying on degraded document image data, M.Y. Jaisimha et al language identification in complex, unoriented and degraded document images, D. Lee et al document analysis and the World Wide Web, D. Lopresti and J. Zhou language-independent and segmentation-free optical character recognition, J. Makhoul et al documents on the move - DA&IR-driven mail piece processing today and tomorrow, U. Miletzki priming the recognizer, G. Nagy and Y. Xu semiautomatic production of highly accurate word bounding box ground truth, R.P. Rogers et al SPAM - a scientific paper access method, A.L. Spitz automated CAD conversion with the machine drawing understanding system, L. Wenyin and D. Dori. (Part contents)
{"title":"Document Analysis Systems II - Second Workshop on Document Analysis Systems, DAS 1996, Malvern, PA, USA, October 14-16, 1996, Selected papers","authors":"S. Taylor, J. Hull","doi":"10.1142/3446","DOIUrl":"https://doi.org/10.1142/3446","url":null,"abstract":"Evaluating the performance of techniques for the extraction of primitives from line drawings composed of horizontal and vertical lines, J.F. Arias et al the development of a general framework for intelligent document image retrieval, D. Doermann et al perdition of OCR accuracy using a neural network, J. Gonzalez et al evaluating Japanese document recognition in the Internet/intranet environment, T. Hong et al DocBrowse - a system for textual and graphical querying on degraded document image data, M.Y. Jaisimha et al language identification in complex, unoriented and degraded document images, D. Lee et al document analysis and the World Wide Web, D. Lopresti and J. Zhou language-independent and segmentation-free optical character recognition, J. Makhoul et al documents on the move - DA&IR-driven mail piece processing today and tomorrow, U. Miletzki priming the recognizer, G. Nagy and Y. Xu semiautomatic production of highly accurate word bounding box ground truth, R.P. Rogers et al SPAM - a scientific paper access method, A.L. Spitz automated CAD conversion with the machine drawing understanding system, L. Wenyin and D. Dori. (Part contents)","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127124170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the algorithm, is based on Bayesian probabilistic networks and has potential for being used in other spatial information tasks. The book also has a comprehensive review of the prior work in the area. It not only classifies the prior work but also identifies some areas of future work.
{"title":"Computer Perceptual Organization in Computer Vision","authors":"Sudeep Sarkar, K. Boyer","doi":"10.1142/2421","DOIUrl":"https://doi.org/10.1142/2421","url":null,"abstract":"This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the algorithm, is based on Bayesian probabilistic networks and has potential for being used in other spatial information tasks. The book also has a comprehensive review of the prior work in the area. It not only classifies the prior work but also identifies some areas of future work.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126187548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generic Object Recognition Using Form and Function","authors":"L. Stark, K. Bowyer","doi":"10.1142/2123","DOIUrl":"https://doi.org/10.1142/2123","url":null,"abstract":"","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132675028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Overview of Software Engineering Artificial Intelligence in Software Engineering Computational Intelligence Computational Intelligence in Software Engineering Software Quality Software Testing Artificial Intelligence in Software Testing Computational Intelligence in Software Testing Reliability Engineering for Software Nonlinear Time Series Analysis Experimental Results Review of Related Work Software Change and Software Characteristic Datasets Fuzzy Cluster Analysis Data Mining Machine Learning in Skewed Datasets Experimental Results Proposed Usage.
{"title":"Computational Intelligence in Software Quality Assurance","authors":"S. Dick, A. Kandel","doi":"10.1142/5760","DOIUrl":"https://doi.org/10.1142/5760","url":null,"abstract":"Overview of Software Engineering Artificial Intelligence in Software Engineering Computational Intelligence Computational Intelligence in Software Engineering Software Quality Software Testing Artificial Intelligence in Software Testing Computational Intelligence in Software Testing Reliability Engineering for Software Nonlinear Time Series Analysis Experimental Results Review of Related Work Software Change and Software Characteristic Datasets Fuzzy Cluster Analysis Data Mining Machine Learning in Skewed Datasets Experimental Results Proposed Usage.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121052796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A recent history of image interpretation foundations architecture of SOO-PIN simple scenarios interpretation of traffic scenes uncertainty velocity runtime results.
近期历史图像解译基础架构的soopin简单场景解译交通场景不确定速度运行结果。
{"title":"Picture Interpretation: A Symbolic Approach","authors":"S. Dance, Zhi-Qiang Liu, T. Caelli","doi":"10.1142/2881","DOIUrl":"https://doi.org/10.1142/2881","url":null,"abstract":"A recent history of image interpretation foundations architecture of SOO-PIN simple scenarios interpretation of traffic scenes uncertainty velocity runtime results.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114232037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A perfectly parallel thinning algorithm, Y.Y. Zhang and P.S.P. Wang background structure in document images, H.S. Baird analysis of form images, D.-C Wang and S.N. Srihari model-based analysis and understanding of check forms, T.H. Minh and H. Bunke document structures - a survey, Y.Y. Tang and C.Y. Suen automatic input of logic diagrams by recognizing loop-symbols and rectilinear connections, S.H. Kim and J.H. Kim syntactic analysis of technical drawing dimensions, S. Collin and D. Colnet recognition of elevation value in topographic maps by multi-angled parallelism, H. Yamada et al character recognition by signature approximation, N. Papamarkos et al an adaptive modular neural network with application to unconstrained character recognition, L. Mui et al a model-based split-and-merge method for character string recognition, H. Nishida and S. Mori handprinted Chinese character recognition using probability distribution feature, T.F. Li and S.S. Yu an algorithm for matching OCR-generated text strings, S.V. Rice et al.
{"title":"Document Image Analysis","authors":"P. S. P. Wang, Henry S. Baird, Horst Bunke","doi":"10.1142/2551","DOIUrl":"https://doi.org/10.1142/2551","url":null,"abstract":"A perfectly parallel thinning algorithm, Y.Y. Zhang and P.S.P. Wang background structure in document images, H.S. Baird analysis of form images, D.-C Wang and S.N. Srihari model-based analysis and understanding of check forms, T.H. Minh and H. Bunke document structures - a survey, Y.Y. Tang and C.Y. Suen automatic input of logic diagrams by recognizing loop-symbols and rectilinear connections, S.H. Kim and J.H. Kim syntactic analysis of technical drawing dimensions, S. Collin and D. Colnet recognition of elevation value in topographic maps by multi-angled parallelism, H. Yamada et al character recognition by signature approximation, N. Papamarkos et al an adaptive modular neural network with application to unconstrained character recognition, L. Mui et al a model-based split-and-merge method for character string recognition, H. Nishida and S. Mori handprinted Chinese character recognition using probability distribution feature, T.F. Li and S.S. Yu an algorithm for matching OCR-generated text strings, S.V. Rice et al.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115590168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
On-line handwriting recognition by discrete HMM with fast learning diacritical processing using efficient accounting procedures in a forward search a handwritten form reader architecture combining different classifiers and levels of knowledge - a first step towards an adaptive recognition system architecture for handwritten text recognition systems search algorithms for the recognition of cursive phrases without world segmentation a method for the determination of features used in human reading of cursive handwriting global methods for stroke segmentation an advanced segmentation technique for cursive word recognition document understanding based on maximum a posteriori probability estimation combining shape matrices and HMMs for hand-drawn pictogram recognition.
{"title":"Advances in Handwriting Recognition","authors":"Seong-Whan Lee","doi":"10.1142/3981","DOIUrl":"https://doi.org/10.1142/3981","url":null,"abstract":"On-line handwriting recognition by discrete HMM with fast learning diacritical processing using efficient accounting procedures in a forward search a handwritten form reader architecture combining different classifiers and levels of knowledge - a first step towards an adaptive recognition system architecture for handwritten text recognition systems search algorithms for the recognition of cursive phrases without world segmentation a method for the determination of features used in human reading of cursive handwriting global methods for stroke segmentation an advanced segmentation technique for cursive word recognition document understanding based on maximum a posteriori probability estimation combining shape matrices and HMMs for hand-drawn pictogram recognition.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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