{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:21:06Z","timestamp":1730283666142,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,26]]},"DOI":"10.1109\/mmsp55362.2022.9949229","type":"proceedings-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T21:39:16Z","timestamp":1669153156000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Convolutional Neural Network for Character Recognition in Ancient Syriac Manuscripts"],"prefix":"10.1109","author":[{"given":"Rita","family":"Fermanian","sequence":"first","affiliation":[{"name":"School of Engineering"}]},{"given":"Charles","family":"Yaacoub","sequence":"additional","affiliation":[{"name":"School of Engineering"}]},{"given":"Adib","family":"Akl","sequence":"additional","affiliation":[{"name":"School of Engineering"}]},{"given":"Petra","family":"Bilane","sequence":"additional","affiliation":[{"name":"School of Engineering"}]}],"member":"263","reference":[{"issue":"4","key":"ref1","first-page":"1442","article-title":"Moment invariants based features extraction for classification of syriac alphabet language","volume":"6","author":"Rahma","year":"2013","journal-title":"International Journal of Advances in Engineering & Technology"},{"issue":"6","key":"ref2","first-page":"38","article-title":"Improving the recognition of handwritten characters using neural net-work through multiresolution technique and euclidean distance metric","volume":"45","author":"Patel","year":"2012","journal-title":"International Journal of Computer Applications"},{"key":"ref3","first-page":"125","article-title":"Of-fline handwritten english character recognition based on convolutional neural network","volume-title":"2012 10th IAPR International Workshop on Document Analysis Systems","author":"Yuan"},{"key":"ref4","first-page":"1021","article-title":"Cnn based common approach to handwritten character recognition of multiple scripts","volume-title":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","author":"Sen Maitra"},{"key":"ref5","first-page":"110","article-title":"A neuro-heuristic approach for segmenting handwritten arabic text","volume-title":"Pro-ceedings ACS\/IEEE international conference on com-puter systems and applications","author":"Hamid"},{"key":"ref6","first-page":"664","article-title":"Towards automatic transcription of syriac handwriting","volume-title":"12th International Conference on Image Analysis and Processing, 2003. Proceedings","author":"Clocksin"},{"key":"ref7","first-page":"562","article-title":"Handwritten syriac character recognition using order structure invariance","volume-title":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004","volume":"2","author":"Clocksin"},{"key":"ref8","first-page":"53","article-title":"Combinatorial geometry for shape representation and indexing","volume-title":"International Workshop on Object Representation in Computer Vision","author":"Carlsson"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1007\/3-540-46805-6_5","article-title":"Order structure, correspondence, and shape based categories","volume-title":"Shape, Contour and Grouping in Computer Vision","author":"Carlsson","year":"1999"},{"key":"ref10","article-title":"Action recog-nition by shape matching to key frames","volume-title":"Workshop on models versus exemplars in computer vision","volume":"1","author":"Carlsson"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2007.4414012"},{"key":"ref12","first-page":"303","article-title":"A segmentation free approach for indexing digitized syriac manuscripts","volume-title":"2009 17th European Signal Processing Conference","author":"Bilane"},{"key":"ref13","first-page":"1841","article-title":"Indexation of syriac manuscripts using directional features","volume-title":"2009 16th IEEE International Conference on Image Processing (ICIP)","author":"Bilane"},{"key":"ref14","first-page":"481","article-title":"Local orientation extraction for wordspotting in syriac manuscripts","volume-title":"International Conference on Image and Signal Processing","author":"Bilane"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3151509.3151513"},{"key":"ref16","first-page":"1","article-title":"Deep recognition-based character segmentation in handwritten syriac manuscripts","volume-title":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","author":"Fermanian"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv preprint"},{"key":"ref18","first-page":"770","article-title":"Deep residual learning for image recognition","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"He"},{"key":"ref19","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref21","article-title":"Densenet: Implementing efficient convnet descriptor pyramids","author":"Iandola","year":"2014","journal-title":"arXiv preprint"},{"issue":"11","key":"ref22","first-page":"2278","article-title":"Gradient-based learning applied to document recognition","volume-title":"Proceedings of the IEEE","volume":"86","author":"LeCun"}],"event":{"name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","start":{"date-parts":[[2022,9,26]]},"location":"Shanghai, China","end":{"date-parts":[[2022,9,28]]}},"container-title":["2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9948698\/9948704\/09949229.pdf?arnumber=9949229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T15:57:09Z","timestamp":1710431829000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9949229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,26]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/mmsp55362.2022.9949229","relation":{},"subject":[],"published":{"date-parts":[[2022,9,26]]}}}