Study of Segmentation Techniques for Cursive English Handwriting Recognition

Author:

Dhande Pritam S.,Kharat Reena

Publisher

Springer Singapore

Reference6 articles.

1. Abhishek Bala and Rajib Saha, “An Improved Method for Handwritten Document Analysis using Segmentation, Baseline Recognition and Writing Pressure Detection”, 6th International Conference On Advances In Computing & Communications, ICACC 2016, 6–8 September 2016, Cochin, India, Elsevier-2016.

2. Kanchan Keisham and Sunanda Dixit, “Recognition of Handwritten English Text Using Energy Minimisation”, Information Systems Design and Intelligent Applications, Advances in Intelligent Systems and Computing, Bangalore, India, Springer-2016.

3. Subhash Panwara & Neeta Naina, “A Novel Segmentation Methodology for Cursive Handwritten Documents”, IETE JOURNAL OF RESEARCH|VOL 60|NO 6|NOVDEC 2014

4. G. Louloudisa, B.Gatosb, I.Pratikakisb, C.Halatsisa, “Text line and word segmentation of handwritten documents” doi: 10.1016/j.patcog.2008.12.016 , Elsevier -2009

5. Namrata Dave, “Segmentation Methods for Hand Written Character Recognition”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 8, No. 4 (2015), pp. 155–164.

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1. An Investigation for Cursive Context-Specific Printed Script Recognition Techniques;2023 20th International Multi-Conference on Systems, Signals & Devices (SSD);2023-02-20

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