A new optical music recognition system based on combined neural network

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Cuihong H Wen (Author) Other; Ana Rebelo (Author) Other; Jing Zhang (Author) Other; Jaime Cardoso (Author) FEUP

Journal

Title: Pattern Recognition Letters

Vol. 58

Pages: 1-7

ISSN: 0167-8655

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 13 Citations

Scopus - 21 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-00G-3T8

DOI: 10.1016/j.patrec.2015.02.002

Abstract (EN): Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we propose a new OMR system to recognize the music symbols without segmentation. We present a new classifier named combined neural network (CNN) that offers superior classification capability. We conduct tests on fifteen pages of music sheets, which are real and scanned images. The tests show that the proposed method constitutes an interesting contribution to OMR.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7