{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T21:53:50Z","timestamp":1648936430974},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1992,4]]},"abstract":"<jats:p> The image analysis levels of a recognition system for engraved musical scores are described. Recognizing musical score images requires an accurate segmentation stage to isolate symbols from staff lines. This symbols\/staves segregation is achieved by the use of inscribed line (chord) information. This information, processed by a multilayer perceptron, allows an efficient segmentation in terms of the remaining connected components. Some of these components are then classified, using another network, according to a coding of their skeleton graph. Special attention is paid to the design of the networks: the architectures are adapted to the specificities of each task. Multilayer perceptrons are employed here together with other more classical image analysis techniques which are also presented. <\/jats:p>","DOI":"10.1142\/s0218001492000114","type":"journal-article","created":{"date-parts":[[2004,11,25]],"date-time":"2004-11-25T00:50:24Z","timestamp":1101343824000},"page":"193-208","source":"Crossref","is-referenced-by-count":1,"title":["NEURAL NETWORKS FOR THE RECOGNITION OF ENGRAVED MUSICAL SCORES"],"prefix":"10.1142","volume":"06","author":[{"given":"PHILIPPE","family":"MARTIN","sequence":"first","affiliation":[{"name":"Laboratoire TIM 3\u2013IMAG USR B 00690, Universit\u00e9 Joseph Fourier, B\u00e2timent CERMO\u2013BP 53x, 38041 Grenoble c\u00e9dex, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CAMILLE","family":"BELLISSANT","sequence":"additional","affiliation":[{"name":"Laboratoire TIM 3\u2013IMAG USR B 00690, Universit\u00e9 Joseph Fourier, B\u00e2timent CERMO\u2013BP 53x, 38041 Grenoble c\u00e9dex, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001492000114","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:15:15Z","timestamp":1565144115000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001492000114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,4]]},"references-count":0,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,4]]}},"alternative-id":["10.1142\/S0218001492000114"],"URL":"https:\/\/doi.org\/10.1142\/s0218001492000114","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,4]]}}}