{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T13:53:41Z","timestamp":1761486821149},"reference-count":8,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2001,3]]},"abstract":"<jats:p> This paper proposes a novel method called Wavelet-Sparse-Matrix (WSM) to extract the spatial features of 2-D objects for classifying objects that have subtle differences. The differences between these objects are present in the spatial orientations of the objects, or in the local positions of points on the contours of the objects. The separable wavelets are able to distinguish these differences and to separate them into three sparse subpatterns. Sparse matrix technique has the ability to rearrange nonzero elements in a sparse matrix by moving them as close together as possible. WSM method is a combination of these two techniques which can considerably improve the distinction of slightly dissimilar objects. Experiments are conducted, which include a series of discriminative simulations and comparisons with Fourier descriptor and Zernike moment invariant. These experiments verify the feasibility and effectiveness of the WSM method. <\/jats:p>","DOI":"10.1142\/s0218001401000873","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T07:04:45Z","timestamp":1027753485000},"page":"329-345","source":"Crossref","is-referenced-by-count":11,"title":["CLASSIFICATION OF SIMILAR 2-D OBJECTS BY WAVELET-SPARSE-MATRIX (WSM) METHOD"],"prefix":"10.1142","volume":"15","author":[{"given":"L.","family":"FENG","sequence":"first","affiliation":[{"name":"Department of Computer Science, Concordia University, Montreal, Qu\u00e9bec, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T. D.","family":"BUI","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Concordia University, Montreal, Qu\u00e9bec, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y. Y.","family":"TANG","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160440202"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(98)00148-4"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1109\/34.368168"},{"key":"p_6","first-page":"5","volume":"54","author":"Prokop R. J.","year":"1992","journal-title":"CVGIP: Graph. Model Imag. Process."},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(98)00137-X"},{"key":"p_10","first-page":"I2","author":"Srihari S.","year":"1999","journal-title":"Proc. 2nd Int. Conf. Multimodal Interface, January, Hong Kong"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1109\/83.544571"},{"key":"p_12","first-page":"8","volume":"19","author":"Tieng Q. M.","year":"1997","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001401000873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:23:06Z","timestamp":1565130186000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001401000873"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,3]]},"references-count":8,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2001,3]]}},"alternative-id":["10.1142\/S0218001401000873"],"URL":"https:\/\/doi.org\/10.1142\/s0218001401000873","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2001,3]]}}}