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Handwritten Character Recognition for English and Telugu Scripts Using Multi Layer Perceptions (MLP)


Affiliations
1 Dept of Computer science, Sharda University, Greater Noida, India
 

Handwritten character recognition is frequently a frontier area of study in the field of prototype recognition and image processing and there is a large involve for OCR on hand written credentials. Even though, passable studies have perform in foreign scripts like Chinese, Japanese and Arabic characters, simply a very few work can be traced for handwritten disposition recognition of entire world scripts. In upcoming days, character recognition system might dish up as a key factor to create paperless environment by digitizing and processing existing paper documents. In this paper, we have provided the detail study on existing methods for handwritten character recognition.

Keywords

DataSet Generation, Feature Extraction, OCR for English & Telugu Hand-Written Text and English & Telugu Hand-Written Text.
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  • Handwritten Character Recognition for English and Telugu Scripts Using Multi Layer Perceptions (MLP)

Abstract Views: 343  |  PDF Views: 0

Authors

P. V. Manoj
Dept of Computer science, Sharda University, Greater Noida, India
A. K. Sahoo
Dept of Computer science, Sharda University, Greater Noida, India
Samudra Gupt Maurya
Dept of Computer science, Sharda University, Greater Noida, India
Rohit Kumar
Dept of Computer science, Sharda University, Greater Noida, India

Abstract


Handwritten character recognition is frequently a frontier area of study in the field of prototype recognition and image processing and there is a large involve for OCR on hand written credentials. Even though, passable studies have perform in foreign scripts like Chinese, Japanese and Arabic characters, simply a very few work can be traced for handwritten disposition recognition of entire world scripts. In upcoming days, character recognition system might dish up as a key factor to create paperless environment by digitizing and processing existing paper documents. In this paper, we have provided the detail study on existing methods for handwritten character recognition.

Keywords


DataSet Generation, Feature Extraction, OCR for English & Telugu Hand-Written Text and English & Telugu Hand-Written Text.