Border noise removal and perspective correction in camera-based document images

Graduate Thesis uoadl:1325010 363 Read counter

Unit:
Department of Informatics and Telecommunications
Πληροφορική
Deposit date:
2016-11-23
Year:
2016
Author:
Panou Dimitra
Supervisors info:
Βασίλειος Γάτος, Ερευνητής, τμήμα Πληροφορικής και Τηλεπικοινωνιών ΕΚΕΦΕ Δημόκριτος
Σέργιος Θεοδωρίδης, Καθηγητής, τμήμα Πληροφορικής και Τηλεπικοινωνιών ΕΚΠΑ
Original Title:
Αφαίρεση περιθωρίου και διόρθωση παραμόρφωσης σε έγγραφα από κάμερα
Languages:
Greek
Translated title:
Border noise removal and perspective correction in camera-based document images
Summary:
The goal of this bachelor thesis is the creation of an application that rectifies a document’s perspective distortion and removes its borders. The documents used are pictures taken by a camera. Specifically, the implementation of this application uses two methods. One method is based on Harris corner detection algorithm, while the other one uses Hough transformation. The first method finds document boundaries by specifying document corners, whereas the second one detects the maximum edges that make up the image’s contour. We compare the two methods and show that the method that uses Hough transformation appears to be more effective. Based on the experiments conducted using each method, we extracted the best method and the most effective sets of parameters and used them in the final version of the application
Main subject category:
Technology - Computer science
Keywords:
perspective correction, border removal, edge detection, corner detection
Index:
Yes
Number of index pages:
8
Contains images:
Yes
Number of references:
24
Number of pages:
110
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