Deep Learning Based Image Recognition for Vehicle Number Information
Sandeep Kumar Satapathy1, Shruti Mishra2, R. Sai Sundeep3, U. Sai Ravi Teja4, Pradeep Kumar Mallick5, M. Shruti6, K. Shravya7

1Sandeep Kumar Satapathy, Department of Computer Science and Engineering, KL Deemed to be University, Vijayawada, Andhra Pradesh, India.

2Shruti Mishra, Department of Computer Science and Engineering, Vellore Institute of Technology, Amaravati, Andhra Pradesh, India.

3Pradeep Kumar Mallick, School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India.

4R. Sai Sundeep, Undergraduate student, Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India.

5U. Sai Ravi Teja, Undergraduate student, Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India.

6M. Shruti, Undergraduate student, Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India.

7K. Shravya, Undergraduate student, Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India. 

Manuscript received on 08 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 22 June 2019 | PP: 52-55 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H10100688S219/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A number plate contains a sign affixed to the front and rear of a vehicle for displaying its registration number. This registration number is used for the official identification purposes by the authorities. Most regular Optical Character Recognition (OCR) techniques perform well in recognizing printed characters on documents but cannot make out the registration number on the number plates. Besides, the existing approaches to number plate detection require that the vehicle is stationary and not in motion. To address these challenges to Number plate detection we make the following contributions: i. Use Neural Networks based Number plate character recognition, ii. Create a database of captured vehicle number plate’s images, iii. Provide a client-server solution for quickly getting the details of a vehicle’s ownership.

Keywords: Optical Character Recognition (OCR), Image Recognition, Neural Networks, Deep Learning.
Scope of the Article: Deep Learning