3D text segmentation and recognition using leap motion
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-016-3923-z/fulltext.html
Reference37 articles.
1. Agarwal C, Dogra DP, Saini R, Roy PP (2015) Segmentation and recognition of text written in 3d using leap motion interface. In: 3rd Asian Conference on Pattern Recognition, pages 539–543
2. Aggarwal R, Swetha S, Namboodiri AM, Sivaswamy J, Jawahar C (2015) Online handwriting recognition using depth sensors. In: 13th International Conference on Document Analysis and Recognition, pages 1061–1065
3. Amma C, Georgi M, Schultz T (2014) Airwriting: a wearable handwriting recognition system. Pers Ubiquit Comput 18(1):191–203
4. Bharath A, Madhvanath S (2012) Hmm-based lexicon-driven and lexicon-free word recognition for online handwritten indic scripts. IEEE Trans Pattern Anal Mach Intell 34(4):670–682
5. Bianne-Bernard A-L, Menasri F, Mohamad RA-H, Mokbel C, Kermorvant C, Likforman-Sulem L (2011) Dynamic and contextual information in hmm modeling for handwritten word recognition. IEEE Trans Pattern Anal Mach Intell 33(10):2066–2080
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