Method and apparatus for musical score recognition with quick pr

Image analysis – Applications – Reading maps – graphs – drawings – or schematics

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84462, 382181, G06K 900

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active

058646310

ABSTRACT:
A musical score recognition apparatus is constructed for recording an image of a given musical score and for processing the recorded image to thereby recognize involved components so as to produce performance information according to the following methods. First, staffs are provisionally discriminated, and the recorded image is corrected according to an inclination of the discriminated staffs by shifting mark dots in parallel manner to either of horizontal and vertical directions. Second, the staffs are erased exclusively and segmentally to leave other components such as notes and symbols. Third, beams are also erased exclusively to leave notes and symbols on a working image. Fourth, the notes and symbols are recognized using a reference pattern composed of discrete characteristic points such that matching is tested between a given characteristic point and plural dots including central and peripheral dots. Fifth, during the course of determination of a duration between preceding and succeeding performance events based on the score recognition results, the duration of concurrent note events are determined according to a minimum note length of the involved notes.

REFERENCES:
patent: 5146833 (1992-09-01), Lui
patent: 5202526 (1993-04-01), Ohya
patent: 5233168 (1993-08-01), Kulik
"Automated Recognition System for Musical Score", Matsuchima et al. Bulletin of Science & Engineering Research Laboratory, Waseda University No. 112 (1985) pp. 25-52.
"An Efficient Method for the Recognition of Printed Music", Sicard, Proceedings 11th 1 Apr. Int'l Conf. on Pattern Rec. vol. III pp. 576-576, 1992.
"Recognition System for Printed Music Score", Kim et al. Proceedings TENCOM 87, Aug. 1987, pp. 573-577.
Martin et al. "Neural Networks for the Recognition of Engraved Musical Scores" in the International Journal of Pattern Recognition and Artifical Intelligence, vol. 6, No. 1, pp. 193-208, Jun. 1992.

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