{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T21:51:04Z","timestamp":1724968264223},"reference-count":5,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2015,9]]},"abstract":"<jats:p> In this paper, we propose an effective convolutional neural network (CNN) model to the problem of face recognition. The proposed CNN architecture applies fused convolution\/subsampling layers that result in a simpler model with fewer network parameters; that is, a smaller number of neurons, trainable parameters, and connections. In addition, it does not require any complex or costly image preprocessing steps that are typical in existing face recognizer systems. In this work, we enhance the stochastic diagonal Levenberg\u2013Marquardt algorithm, a second-order back-propagation algorithm to obtain faster network convergence and better generalization ability. Experimental work completed on the ORL database shows that a recognition accuracy of 100% is achieved, with the network converging within 15 epochs. The average processing time of the proposed CNN face recognition solution, executed on a 2.5 GHz Intel i5 quad-core processor, is 3 s per epoch, with a recognition speed of less than 0.003 s. These results show that the proposed CNN model is a computationally efficient architecture that exhibits faster processing and learning times, and also produces higher recognition accuracy, outperforming other existing work on face recognizers based on neural networks. <\/jats:p>","DOI":"10.1142\/s1469026815500145","type":"journal-article","created":{"date-parts":[[2015,9,15]],"date-time":"2015-09-15T21:28:40Z","timestamp":1442352520000},"page":"1550014","source":"Crossref","is-referenced-by-count":9,"title":["Convolutional Neural Networks with Fused Layers Applied to Face Recognition"],"prefix":"10.1142","volume":"14","author":[{"given":"A. R.","family":"Syafeeza","sequence":"first","affiliation":[{"name":"FKEKK, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia"}]},{"given":"M.","family":"Khalil-Hani","sequence":"additional","affiliation":[{"name":"VeCAD Research Laboratory, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia"}]},{"given":"S. S.","family":"Liew","sequence":"additional","affiliation":[{"name":"VeCAD Research Laboratory, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia"}]},{"given":"R.","family":"Bakhteri","sequence":"additional","affiliation":[{"name":"VeCAD Research Laboratory, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia"}]}],"member":"219","published-online":{"date-parts":[[2015,9,15]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1142\/S1469026813500181"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_3"},{"key":"rf14","volume":"2","author":"Haykin S.","year":"2004","journal-title":"Neural Netw."},{"key":"rf16","volume":"2","author":"Patel K.","year":"2013","journal-title":"Int. J. Eng."}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1469026815500145","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T15:34:10Z","timestamp":1565105650000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1469026815500145"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":5,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2015,9,15]]},"published-print":{"date-parts":[[2015,9]]}},"alternative-id":["10.1142\/S1469026815500145"],"URL":"https:\/\/doi.org\/10.1142\/s1469026815500145","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"value":"1469-0268","type":"print"},{"value":"1757-5885","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9]]}}}