Review of Feature Extraction Techniques for Character Recognition

Abstract

This paper presents a comprehensive review of the feature extraction techniques for character recognition (CR) which will be helpful for the new researchers to understand the insight into the developments of the current research in the field of CR. Feature extraction plays a major role in the performance of the CR. The characteristics of the feature extraction techniques have to be independent of the scalable font characteristics such as type, size, style, tilt, rotation and should be able to describe the complex, distorted, broken characters effectively. A feature vector should be simple, reliable, complete, and compact to recognize any input character with high accuracy similar to human perception. A lot of research has been done on feature extraction techniques for optical CR for the past few decades. Most of the existing CR methods from the literature will work successfully for one or two fonts and they have used the combination of existing features to improve the accuracy. Therefore, we feel there is still scope to work on feature extraction techniques for the recognition of multilingual characters.

KEYWORDS:

• Character recognition
• Feature extraction
• Shape-based features
• Non-shape-based features
• Indian scripts
• OCR survey

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Narasimha Reddy Soora

Narasimha Reddy Soora received the PhD degree from VNIT, Nagpur, in 2017, the post-graduate degree (M Tech (CSE)) from JNTU, Hyderabad, Telangana, India in 2007, and the under-graduate degree (BE (CSE)) from Osmania University, Hyderabad, Telangana, India, in 1999. He has a total of 17 years experience, which include 9 years from the IT industry and 8 years from academia. He is a life member of ISTE, CSI, India, and a fellow of IETE, India.

E-mail: [email protected]; [email protected]

Parag S. Deshpande

Parag S. Deshpande received the PhD degree from Nagpur University, Nagpur, India and the MTech degree from IIT, Powai, India. He is currently working as HOD and associate professor in the Department of Computer Science & Engineering, VNIT, Nagpur, Maharashtra, India. He has 30 years of academic experience. He is the author of several books including C & Data Structure, Data Warehousing Using Oracle, Sql/plsql for Oracle 11g published by Dreamtech India Pvt Ltd. He is a member of ISTE and SAE-India.

E-mail: [email protected]