Symposium on Document Image Analysis
March 20, 2012 at LUMS, Lahore
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 optical character recognition (OCR) system involving an algorithmic description of the core processing steps in OCR systems.
Registration Deadline March 15, 2012
Registration Fee: Rs. 650 only.
Intended Audience
* 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.
Speakers
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
Sarmad HUSSAIN, Center for Language Engineering, Khawarizmi Institute of Computer Science, UET, Lahore
Topic: Challenges in Developing Urdu Nastaleeq OCR Systems
Khurram KHURSHID, Institute of Space Technology, Islamabad
Topic: Word Spotting for Digital Urdu Libraries
Faisal SHAFAIT, German Research Center for Artificial Intelligence (DFKI) Kaiserslautern, Germany
Topic: Document Image Analysis - Historical Overview, Current Challenges, and Future Directions
Arif ZAMAN, Department of Computer Science, LUMS School of Science and Engineering
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 program. Programming environment will be Python. This session is optional - only those participants who are familiar with programming need to attend.
Organized by
- Computer Vision Lab, LUMS School of Science and Engineering, Lahore
- Image Understanding and Pattern Recognition (IUPR) research group, TU Kaiserslautern, Germany
- German Research Center for Artificial Intelligence DFKI, Kaiserslautern, Germany
- With support from: DAAD German Academic Exchange Service
For further information contact
Ishtiaq BHATTI
Email: ishtiaq@lums.edu.pk
Phone: +92 32 3560 8312
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