An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques

Author(s):  
Rafael M. O. Cruz ◽  
George D. C. Cavalcanti ◽  
Tsang Ing Ren
Author(s):  
Sandhya Arora ◽  
Debotosh Bhattacharjee ◽  
Mita Nasipuri ◽  
Dipak Kumar Basu ◽  
Mahantapas Kundu

2017 ◽  
Vol 64 (2) ◽  
pp. 280-295 ◽  
Author(s):  
Narasimha Reddy Soora ◽  
Parag S. Deshpande

Author(s):  
Sk. Md. Obaidullah ◽  
K. C. Santosh ◽  
Nibaran Das ◽  
Chayan Halder ◽  
Kaushik Roy

Script identification is crucial for automating optical character recognition (OCR) in multi-script documents since OCRs are script-dependent. In this paper, we present a comprehensive survey of the techniques developed for handwritten Indic script identification. Different pre-processing and feature extraction techniques, including classifiers used for script identification, are categorized and their merits and demerits are discussed. We also provide information about some handwritten Indic script datasets. Finally, we highlight the extensions and/or future scope of works together with challenges.


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