Holistic versus segmentation-based recognition of handwritten Devanagari conjunct characters: a CNN-based experimental study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06672-6.pdf
Reference36 articles.
1. Jayadevan R, Kolhe SR, Patil PM, Pal U (2011) Offline recognition of Devanagari script: a survey. IEEE Trans Syst Man Cybern Part C (Appl Rev) 41(6):782–796
2. Bag S, Krishna A (2015) Character segmentation of Hindi unconstrained handwritten words. In: International workshop on combinatorial image analysis, pp 247–260
3. Pramanik R, Bag S (2020) Segmentation-based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer learning. IET Image Process 14(5):959–972
4. Shelke S, Apte S (2010) A novel multi-feature multi-classifier scheme for unconstrained handwritten Devanagari character recognition. In: International conference on frontiers in handwriting recognition, pp 215–219
5. Shelke S, Apte S (2015) A fuzzy based classification scheme for unconstrained handwritten Devanagari character recognition. In: International conference on communication, information and computing technology, pp 1–6
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