Document Image Analysis

Supervisor: Florian Kleber

Status: open

Problem Statement

Document Image Analysis (DIA) deals with the analysis and recognition of document images. Tasks range from skew estimation, layout analysis, Handwritten Text Recognition (HTR), to Writer Identification and Retrieval.

The Computer Vision Lab has completed several projects involving DIA. If you are interested, write an email to discuss open topics within this field.

Workflow
Literature research
Implementation in Python
Evaluation of the DIA system
Written bachelor’s thesis or diploma thesis and final presentation

Requirements
Python
Knowledge in Computer Vision
Knowledge in Deep Learning (PyTorch) and Machine Learning