Every morning there will two lectures while in the evening either student presentation  (Monday) or practice  in laboratories (Tuesday, Thursday, Friday) will take place. The last day (Friday), the participants will have the chance to attend the presentation of several case studies.

Keywords of the Lectures

System architectures

 -          end-to-end document analysis systems

 -          Common issues & implications

 -          performance evaluation

Pre-processing

 -          Binarization

 -          Noise removal

 -          Enhancement

 -          Show through cancellation

 -          Geometric correction (page curl removal, Dewarping, Slant&Skew correction)

 -          Skeletonization

Layout analysis

 -          Segmentation and region classification (physical layout)

 -          Logical layout analysis. Reading order.

Recognition

 -          Machine printed text recognition

 -          Handwriting recognition

 -          Graphics recognition

Evaluation

 -          Datasets

 -          Metrics

 -          Examples of performance evaluation methodologies and protocols

 Indexing

 -          Inverted files

 -          Hashing

 -          Latent semantic indexing (LSI)

 -          information spotting

Document classification

 -          Document classification

 -          Document retrieval