Symposium on Document Image Analysis at LUMS
Symposium on Document Image Analysis
Date: March 20, 2012
Venue: Lahore University of Management Sciences, Pakistan
Department of Computer Science, LUMS School of Science and Engineering (SBASSE), Lahore
Department of Computer Science, LUMS-SBASSE, Lahore
Pakistan Space and Upper Atmosphere Research Commission, SUPARCO, Islamabad.
The event has been organised by:
Computer Vision Lab, LUMS-SBASSE, Lahore
Image Understanding and Pattern Recognition (IUPR) research group, TU Kaiserslautern, Germany
German Research Centre for Artificial Intelligence (DFKI), Kaiserslautern, Germany
With support from: DAAD German Academic Exchange Service
Syed Saqib Bukhari
Image Understanding and Pattern Recognition (IUPR) Research Group, Technical University Kaiserslautern, Germany
Topic: A Generic Text-Line Extraction Method for A Collection of Diverse Document Images
Center for Language Engineering, Khawarizmi Institute of Computer Science, UET, Lahore
Topic: Challenges in Developing Urdu Nastaleeq Optical Character Recognition (OCR) Systems
Institute of Space Technology, Islamabad
Topic: Word Spotting for Digital Urdu Libraries
German Research Centre for Artificial Intelligence (DFKI) Kaiserslautern, Germany
Topic: Document Image Analysis - Historical Overview, Current Challenges, and Future Directions
Department of Computer Science, LUMS-SSE
Topic: Practical and Adaptive Optical Mark Recognition (OMR)
Hands-On OCR Lab Session
Post-lunch session will be conducted in a lab in which participants will be guided to write their own OCR programme. Programming environment will be Python. This session is optional - only those participants who are familiar with programming need to attend.
Programme is available here
About the Symposium
Document Image Analysis is concerned with the automatic interpretation of images of printed and handwritten documents, including text, engineering drawings, maps, and music score sheets. Research in this field descends in an unbroken tradition from the earliest experiments in computer vision, and remains distinguished by close and productive ties between the academic and industrial communities. This symposium on document image analysis will provide the participants an overview of this research field, its historical development, recent progress and open issues; highlight research efforts done in the last years on processing Urdu documents; and would give a hands-on tutorial to build an OCR system involving an algorithmic description of the core processing steps in OCR systems.
* Students and faculty members in computer science, electrical engineering and allied disciplines with an interest in image processing, machine learning and language processing.
* Professionals interesting in automating data entry from large number of documents, such as those conducting field surveys or receiving many forms that need to be entered in a computer system.
* Professionals with an interest in exploring management of archival documents, such as librarians, and museum curators.