Thisvolumecontainspapersselectedforpresentationatthe6thIAPRWorkshop on Document Analysis Systems (DAS 2004) held during September 8–10, 2004 at the University of Florence, Italy. Several papers represent the state of the art in a broad range of “traditional” topics such as layout analysis, applications to graphics recognition, and handwritten documents. Other contributions address the description of complete working systems, which is one of the strengths of this workshop. Some papers extend the application domains to other media, like the processing of Internet documents. The peculiarity of this 6th workshop was the large number of papers related to digital libraries and to the processing of historical documents, a taste which frequently requires the analysis of color documents. A total of 17 papers are associated with these topics, whereas two yearsago (in DAS 2002) only a couple of papers dealt with these problems. In our view there are three main reasons for this new wave in the DAScommunity. From the scienti?c point of view, several research ?elds reached a thorough knowledge of techniques and problems that can be e?ectively solved, and this expertise can now be applied to new domains. Another incentive has been provided by several research projects funded by the EC and the NSF on topics related to digital libraries.
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Muhammad Nabeel Asim is a Senior Researcher at the German Research Center for Artificial Intelligence (DFKI) and a co-founder of intelligentX. He earned his Ph.D. with summa cum laude distinction from Technische Universität Kaiserslautern, Germany, where his research focused on developing an AI-driven framework capable of generating innovative predictive pipelines for genomics, proteomics, and multi-omics data analysis. Nabeel has an extensive publication record in areas such as DNA, RNA, and protein sequence analysis. Beyond genomics, he has applied his expertise in artificial intelligence to create diverse real-world solutions across various domains, including natural language processing, energy, and network security. Currently, he is committed to mentoring future researchers and developing innovative AI solutions to address critical global challenges.Sheraz Ahmed is a Principal Researcher at the German Research Center for Artificial Intelligence (DFKI) while running DeepReader GmbH, a company he founded to bridge the gap between academic research and industry applications. He earned his Ph.D. from Technische Universität Kaiserslautern, Germany, focusing on innovative approaches to breaking down and understanding information in document images. His work has increasingly turned toward the Life Sciences, where he sees AI as a powerful tool for accelerating scientific breakthroughs. He is also dedicated to advancing trustworthy AI, ensuring that AI technologies are ethical, transparent, and reliable for widespread adoption. In recognition of his outstanding ocontributions, Sheraz was honored with the prestigious DFKI Research Fellow Award, highlighting his leadership in the field of artificial intelligence. Multiple research stays backed by prestigious JSPS and DAAD fellowships, have shaped his international outlook on AI development. Today, he continues to explore new frontiers in AI while mentoring the next generation of researchers and building practical solutions for real-world challenges.Andreas Dengel is a professor at the Department of Computer Science at the University of Kaiserslautern-Landau, a co-founder of intelligentX as well as the Executive Director of DFKI in Kaiserslautern. Since 2009, he has held another professorship (kyakuin) at the Department of Computer Science and Intelligent Systems at Osaka Metropolitan University, with the right to teach and examine. At this university, he was also appointed Distinguished Honorary Professor (tokubetu eiyo kyoju) in March 2018, an honor bestowed on only five researchers in 135 years. He has received many honors for his work and scientific achievements. In 2019 he was selected by a jury on behalf of the German Federal Ministry of Education and Research (BMBF) as one of the most influential scientists in 50 years of AI history in Germany for his research in the field of document analysis. He is the recipient of the Order of Merit of Rhineland-Palatinate and was awarded the The Order of the Rising Sun, Gold Rays with Neck Ribbon in 2021, Japan's oldest order, on behalf of His Majesty Emperor Naruhito. Andreas Dengel has chaired numerous international conferences and is a member of the editorial boards of international journals and book series. He has written or edited 14 books and is the author of more than 600 peer-reviewed scientific publications, many of which have received the Best Paper Award. His main research areas are machine learning, pattern recognition, quantified learning, data mining, and neuro-symbolic AI.
Prof. Dr. Andreas Dengel ist Wissenschaftlicher Direktor am Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI) in Kaiserslautern, Professor für Informatik an der Technischen Universität Kaiserslautern und Honorarprofessor am Dept. of Computer Science and Intelligent Systems der Graduate School of Engineering an der Osaka Prefecture University und arbeitet mit seiner Gruppe seit vielen Jahren auf dem Gebiet Semantischer Technologien.
Thisvolumecontainspapersselectedforpresentationatthe6thIAPRWorkshop on Document Analysis Systems (DAS 2004) held during September 8¿10, 2004 at the University of Florence, Italy. Several papers represent the state of the art in a broad range of ¿traditional¿ topics such as layout analysis, applications to graphics recognition, and handwritten documents. Other contributions address the description of complete working systems, which is one of the strengths of this workshop. Some papers extend the application domains to other media, like the processing of Internet documents. The peculiarity of this 6th workshop was the large number of papers related to digital libraries and to the processing of historical documents, a taste which frequently requires the analysis of color documents. A total of 17 papers are associated with these topics, whereas two yearsago (in DAS 2002) only a couple of papers dealt with these problems. In our view there are three main reasons for this new wave in the DAScommunity. From the scienti?c point of view, several research ?elds reached a thorough knowledge of techniques and problems that can be e?ectively solved, and this expertise can now be applied to new domains. Another incentive has been provided by several research projects funded by the EC and the NSF on topics related to digital libraries.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thisvolumecontainspapersselectedforpresentationatthe6thIAPRWorkshop on Document Analysis Systems (DAS 2004) held during September 8-10, 2004 at the University of Florence, Italy. Several papers represent the state of the art in a broad range of 'traditional' topics such as layout analysis, applications to graphics recognition, and handwritten documents. Other contributions address the description of complete working systems, which is one of the strengths of this workshop. Some papers extend the application domains to other media, like the processing of Internet documents. The peculiarity of this 6th workshop was the large number of papers related to digital libraries and to the processing of historical documents, a taste which frequently requires the analysis of color documents. A total of 17 papers are associated with these topics, whereas two yearsago (in DAS 2002) only a couple of papers dealt with these problems. In our view there are three main reasons for this new wave in the DAScommunity. From the scienti c point of view, several research elds reached a thorough knowledge of techniques and problems that can be e ectively solved, and this expertise can now be applied to new domains. Another incentive has been provided by several research projects funded by the EC and the NSF on topics related to digital libraries. Artikel-Nr. 9783540230601
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