Prepoznavanje znakova na slikama

undergraduate thesis

• Title (english): Detecting Symbols in Images
• Author: Ivana Ursa
• Mentor: Marin Šilić (mentor)
• Committee member: Marin Šilić (predsjednik povjerenstva)
• Committee member: Adrian Satja Kurdija (član povjerenstva)
• Committee member: Lucija Šikić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-09-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Optičko prepoznavanje znakova (OCR) je grana računalnog vida koja se bavi raspoznavanjem znakova na slikama. Proces OCR sustava započinje predobradom slike tako da postane pogodna za jasnu segmentaciju znakova. Predobrada slike uključuje uklanjanje i zaglađivanje smetnji, otkrivanje i ispravak nagiba dokumenta, normalizaciju. Segmentiranim znakovima se izvlače njihove značajke te se na temelju njih znak provodi kroz raspoznavanje. Značajke mogu biti statističke i strukturne značajke te globalne transformacije. Popularna i učinkovita metoda raspoznavanja znakova je konvolucijska neuronska mreža.

Abstract (english)

Optical character recognition is a branch of computer vision that is focused on recognizing characters in images. The OCR system process begins with image preprocessing to make the image suitable for clear character segmentation. Image preprocessing includes noise removal and smoothing, document skew detection and correction, normalization. Features are extracted from the segmented characters, and based on them the character is being recognized. Features can be statistical and structural features, and global transformations. A popular and effective method of character recognition is the convolutional neural network.

• Keywords: optičko raspoznavanje znakova; računalni vid; konvolucijske neuronske mreže; umjetna inteligencija; duboko učenje
• Keywords (english): optical character recognition; computer vision; convolutional neural network; artificial intelligence; deep learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:835916
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 16:25:18