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.

2023S, VU, 2.0h, 3.0EC
TUWEL

Properties

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

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 Handwritten Text Recognition (HTR), Layout Analysis and Writer identification as well as preprocessing steps 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

Immanent

Additional information

Attendance is mandatory - the lecture will be done in person

The lecture will be held ct (13:15)

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
------
75h

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon13:00 - 15:0020.03.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU Introduction
Mon13:00 - 15:0027.03.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Image Acquisition
Mon13:00 - 15:0017.04.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Document Preprocessing
Mon13:00 - 15:0024.04.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: HTR (Handwritten Text Recognition)
Mon13:00 - 15:0015.05.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Student Presentations 1
Mon13:00 - 15:0022.05.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Layout Analysis
Mon13:00 - 15:0005.06.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Writer Retrieval/Identification
Mon13:00 - 15:0012.06.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: alternative date
Mon13:00 - 15:0019.06.2023Seminarraum FAV 01 A (Seminarraum 183/2) DAVU: Final Presentation UE

Examination modalities

  • Submission of a task (programs)
  • oral and written presentation of the results
  • an oral examination

Course registration

Begin End Deregistration end
17.02.2023 00:00 02.04.2023 01:00 02.04.2023 01:00

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!

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory elective
066 932 Visual Computing Mandatory elective

Literature

No lecture notes are available.

Miscellaneous

Language

if required in English