Segmentation of handwritten words using structured support vector machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-019-00843-x.pdf
Reference53 articles.
1. Dhaka VP, Sharma MK (2015) An efficient segmentation technique for Devanagari offline handwritten scripts using feedforward neural network. Neural Comput Appl 26(8):1881–1893
2. Ryu J, Koo HI, Cho NI (2015) Word segmentation method for handwritten documents based on structured learning. IEEE Signal Process Lett 22(8):1161–1165
3. Sharma MK, Dhaka VP (2016) Segmentation of English offline handwritten cursive scripts using a feedforward neural network. Neural Comput Appl 27(5):1369–1379
4. Sharma MK, Dhaka VP (2016) Pixel plot and trace based segmentation method for bilingual handwritten scripts using feedforward neural network. Neural Comput Appl 27(7):1817–1829
5. Sharma MK, Dhaka VP (2015) Offline scripting-free author identification based on speeded-up robust features. Int J Doc Anal Recognit (IJDAR) 18(4):303–316
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