183.628 Document Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to unlock and structure the content of documents such that they are comprehensible to computer systems. This includes Optical Character Recognition (OCR), Handwritten Text Recognition (HTR), Layout Analysis and Writer identification as well as preprocessing stepd in order to make the subsequent analysis possible. The lab exercise deepens the understanding of the algorithms used.  

Subject of course

Handwriting Recognition, Layout Analysis, Text Detection, OCR, Document Segmentation and Binarization,  Graphics Recognition, Information extraction from document images, Document databases and digital libraries, Forensic document analysis

Teaching methods

  • implementation of methods discussed in the lecture using textual instructions
  • carrying out experiments using the implemented methods
  • documentation including decription and interpretation of results
  • oral feedback during assignment interviews

Mode of examination


Additional information

Attendance is mandatory - the lecture is held via Zoom. You can find the links on our TUWEL site:


ECTS Breakdown - 3 ECTS = 75h

9h     Vorlesung
30h   Implementierung der praktischen Aufgabe
5h     Verfassen eines kurzen Berichts über eigene Implementierung
5h     Vorbereitung und Abhaltung des Abschlussvortrags
25h   Prüfungsvorbereitung
1h     Prüfung



Examination modalities

  • Submission of two tasks (programs)
  • oral and written presentation of the results
  • an oral examination

Course registration

Begin End Deregistration end
12.02.2021 00:00 16.05.2021 00:00 16.05.2021 00:00

Registration modalities

Two tasks have to be solved by groups of 2 students, and include a written report as well as a final presentation of the results.

Both of the partners must be registered with the course in TISS!


Study CodeSemesterPrecon.Info
066 932 Visual Computing


No lecture notes are available.



if required in English