NDLI: Comparison of ML algorithms for identification of Automated Number Plate Recognition

Content Provider	IEEE Xplore Digital Library
Author	Bhardwaj, Dinesh Kaur, Harjinder
Copyright Year	2014
Description	Author affiliation: Department of Electronics and Comm. Engineering, Golden college of Eng. and Tech, Gurdaspur, India (Kaur, Harjinder) \|\| Department of Computer Science and Engineering, Chandigarh University Mohali, India (Bhardwaj, Dinesh)
Abstract	Automated Number Plate Recognition (ANPR) has become essential part of traffic control system because of unconstrained increased of vehicles on roads which make it difficult to control. On or after analysis of diverse author's exertion, ANPR has six imperative parts like Image Acquisition, Pre-processing, edge detection, segmentation, feature extraction and recognition. Characters recognition is turn out to be difficult everyday jobs due to variations of number plate. The intentioned system is mainly focus on classification and recognition of characters using Kstar Machine learning algorithm. The classification characters present better performance using Kstar. A comparative study is done between these classifiers based upon their considerations like average accuracy, precision, recall and F-measure. Performance is deliberated using precision, recall and F-measure. The results give you an idea about that K STAR algorithm completes better with Recognition Rate and it achieved an accuracy of 99%.
Starting Page	1
Ending Page	6
File Size	442206
Page Count	6
File Format	PDF
ISBN	9781479968954
e-ISBN	9781479968961
DOI	10.1109/ICRITO.2014.7014770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine Learning Algorithm Image segmentation ANPR Image edge detection Clustering algorithms Abstracts Kstar Edge detection Feature extraction and recognition Character recognition Pre-processing Segmentation Vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic Number Plate Recognition (ANPR) system for Indian conditions

Real time anpr for vehicle identification using neural network.

Car Plate Recognition System

Image Acquisition Image Pre- Processing Character Segmentation Block Based Feature Extraction Recognition Block-Based Neural Network for Automatic Number

Using Ant's Colony Algorithm for improved segmentation for number plate recognition

License plate recognition based on support vector machine

Application of intelligent systems for Iranian License Plate Recognition

Research and implementation of an improved license plate recognition algorithm

Design of algorithm for vehicle identification by number plate recognition

Comparison of ML algorithms for identification of Automated Number Plate Recognition

Similar Documents

Automatic Number Plate Recognition (ANPR) system for Indian conditions

Real time anpr for vehicle identification using neural network.

Car Plate Recognition System

Image Acquisition Image Pre- Processing Character Segmentation Block Based Feature Extraction Recognition Block-Based Neural Network for Automatic Number

Using Ant's Colony Algorithm for improved segmentation for number plate recognition

License plate recognition based on support vector machine

Application of intelligent systems for Iranian License Plate Recognition

Research and implementation of an improved license plate recognition algorithm

Design of algorithm for vehicle identification by number plate recognition

Comparison of ML algorithms for identification of Automated Number Plate Recognition