{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,4]],"date-time":"2024-08-04T09:45:56Z","timestamp":1722764756495},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2008,5]]},"abstract":"<jats:p> Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this paper, we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. The proposed technique is based on the Singular Value Decomposition (SVD) in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, and thus account for most of the variation in the original data, so the effective dimensionality of the data can be reduced. Having identified data glove signature through its rth principal subspace, the authenticity can then be obtained by calculating the angles between the different subspaces. The SVD-signature verification technique is tested with large number of authentic and forged signatures, showing remarkable level of accuracy in finding the similarities between genuine samples as well as those differentiated between genuine-forgery trials. <\/jats:p>","DOI":"10.1142\/s0218001408006387","type":"journal-article","created":{"date-parts":[[2008,5,13]],"date-time":"2008-05-13T10:48:27Z","timestamp":1210675707000},"page":"431-443","source":"Crossref","is-referenced-by-count":12,"title":["SVD-BASED SIGNATURE VERIFICATION TECHNIQUE USING DATA GLOVE"],"prefix":"10.1142","volume":"22","author":[{"given":"NIDAL S.","family":"KAMEL","sequence":"first","affiliation":[{"name":"Department of Electrical &amp; Electronic Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak, Malaysia"}]},{"given":"SHOHEL","family":"SAYEED","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.2307\/2005662"},{"key":"rf2","volume-title":"SVD and Signal Processing: Algorithms, Applications and Architectures","author":"Deprettere F.","year":"1989"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00061-4"},{"key":"rf5","volume-title":"Matrix Commutations","author":"Golub G.","year":"1983"},{"key":"rf6","volume-title":"Matrix Computations","author":"Golub G. 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J.","year":"1991"},{"key":"rf18","doi-asserted-by":"crossref","unstructured":"J.\u00a0Wang, X.\u00a0Liao and Z.\u00a0Yi (eds.), Signature Recognition and Verification with Artificial Neural Network Using Moment Invariant Method (Springer-Verlag, Berlin, Heidelberg, 2005)\u00a0pp. 195\u2013202.","DOI":"10.1007\/11427445_31"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001408006387","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:20:17Z","timestamp":1565144417000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001408006387"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,5]]},"references-count":14,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2008,5]]}},"alternative-id":["10.1142\/S0218001408006387"],"URL":"https:\/\/doi.org\/10.1142\/s0218001408006387","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,5]]}}}