Paper Info
Title
Restoring image orientation and detecting inverted image for printed music document
Abstract
Optical Music Recognition (OMR) is a technique for converting printed music documents into computer readable formats. For many OMR systems, the skewness of an input document is a critical issue and if the image is skewed, the recognition accuracy of these OMR systems may drop dramatically. In this paper, we introduce an image orientation restoration approach based on image contour and apply it to OMR application. This technique in conjunction with our another technique, the inverted image detection, can achieve image orientation restoration for arbitrary image rotation. From a series of experiments, the error for our orientation angle estimation is below 0.20 for any possible document rotation and the accuracy of inverted music score detection is up to 98.89%. Our approach can effectively restore image orientation and therefore gets rid of the problem of image rotation in OMR applications.
Year
DOI
Venue
2013
10.1109/ICMLC.2013.6890813
ICMLC
Keywords
Field
DocType
omr,computer readable formats,image orientation restoration,inverted image detection,image restoration,omr technique,image recognition,object detection,optical music recognition technique,inverted music score detection,image contour,printed music document,arbitrary image rotation,document image processing,optical imaging,iron
Optical music recognition,Computer vision,Skewness,Pattern recognition,Feature detection (computer vision),Computer science,Image texture,Image processing,Artificial intelligence,Orientation (computer vision),Image restoration,Image contour
Conference
Volume
ISSN
Citations 
03
2160-133X
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Yung-sheng Chen172684.83
Feng-Sheng Chen21748.31
Chin-Hung Teng39311.19