| KEYWORD |
Recognizing information from images of documents with predefined layout and OMR markers
Thesis in external company
keywords IMAGE ANALYSIS, SOFTWARE
Reference persons LUCA ARDITO
External reference persons Fabrizio Sinato
Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Thesis type COMPANY STAGE
Description The thesis proposes to explore the potential and limitations of recognizing information from images of documents with a predefined and delimited layout by OMR markers. The research will focus on using a fixed camera equipped with an integrated processing unit to acquire the images. The most appropriate design solutions, such as the use of Aruco markers, will be evaluated in order to fully exploit the technology of the hardware adopted in the experimentation. The final goal will be to identify the opportunities and challenges in using this technology for recognizing information from images of documents.
Required skills Theory on image processing (pre-processing filters, pattern matching, oversampling, perspective correction, ...)
knowledge of the openCV library
Python programming language
Deadline 27/01/2024
PROPONI LA TUA CANDIDATURA