IAPR-TC11:Reading Systems

Within the International Association for Pattern Recognition, Technical Committee 11 is concerned with theory and application of Reading Systems. The goal is to understand and develop systems which are able to analyze media containing character symbols and will return an encoded representation of the text content and structure.

This area covers research in the off-line recognition of printed texts and handwritten material, research on the automatic on-line recognition of handwriting as in pen-computing applications, as well as research in the analysis of electronic documents such as web pages. Applications include digital libraries, pen-based computing, check and mail reading, signature verification, web mining and content repurposing, web security using human interactive proofs, textual content analysis in videos, and historical document preservation and archiving.

The research topics cover all levels of processing, starting with the image or planar coordinates delivered by sensory technology, the necessary image and signal-processing stages, the subsequent segmentation and normalization stages, to feature extraction and selection, classification methods, statistical and syntactical pattern recognition and machine learning techniques.

Organisation

• Chair: :Prof. Daniel P. Lopresti (Lehigh University, USA)

• Vice-Chair: :Prof. Koichi Kise (Osaka Prefecture University, Japan)

• Webmaster: :Prof. Masakazu Iwamura (Osaka Prefecture University, Japan)

• Dataset curator: :Dr. Dimosthenis Karatzas (Autönoma de Barcelona, Spain)

• Newsletter editor: :Prof. Gernot A. Fink (TU Dortmund University , Germany)