Automatic Number Plate Recognition- Image Processing Technique

2016 ◽  
Vol 11 (01) ◽  
Author(s):  
Priti Rajvanshi Goyal ◽  
Vijaypal Singh Dhaka
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Pattern Recognition ◽  
Mathematical Morphology ◽  
Geometric Analysis ◽  
Processing Technique ◽  
Image Processing Technique ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Systems

Automated Number Plate Recognition (ANPR) is also known as Automated License Plate Recognition (ALPR). Automatic Number Plate Recognition or ANPR is a technology that uses pattern recognition to ‘read’ vehicle number plates. The design of ANPR systems is a field of research in artificial intelligence and pattern recognition. The main goal of this paper is to study algorithmic and mathematical principles of automatic number plate recognition systems. ANPR can be used to store the images captured by the cameras as well as the text from the number plate and using mathematical morphology methods to detect the edges of the rectangular plate. Mathematical morphology is a part of digital image processing which is concerned with image filtering and geometric analysis by using structuring elements (SE).

Automatic Number Plate Goyal Recognition-Image Processing Technique

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Priti Rajvanshi ◽  
Vijaypal Singh Dhaka
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Pattern Recognition ◽  
Mathematical Morphology ◽  
Geometric Analysis ◽  
Processing Technique ◽  
Image Processing Technique ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Systems

Automated Number Plate Recognition (ANPR) is also known as Automated License Plate Recognition (ALPR).Automatic Number Plate Recognition or ANPR is a technology that uses pattern recognition to ‘read’ vehiclenumber plates. The design of ANPR systems is a field of research in artificial intelligence and pattern recognition. The main goal of this paper is to study algorithmic and mathematical principles of automatic number plate recognition systems. ANPR can be used to store the images captured by the cameras as well as the text from the number plate and using mathematical morphology methods to detect the edges of the rectangular plate. Mathematical morphology is a part of digital image processing which is concerned withimage filtering and geometric analysis by using structuring elements (SE).

scholarly journals Health Detection of Wheat Crop Using Pattern Recognition and Image Processing

2020 ◽  
Vol 15 (2) ◽  
pp. 50-60 ◽  
Author(s):  
Balwant Ram ◽  
Mamoon Rashid ◽  
Kamlesh Lakhwani ◽  
Shibi S. Kumar
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Human Resources ◽  
Agricultural Sector ◽  
Value Added ◽  
Processing Technique ◽  
Vital Role ◽  
Image Processing Technique ◽  
Wheat Crop ◽  
Recognition Method

Agriculture plays a vital role in India's economy. 44% of the employment in India is engaged in agriculture and allied activities and it also contributes 17% of the gross value added. As most of the country's people are in the agricultural sector and out of them only a few are literate about how to protect their cultivation ultimately gives rise to severe problems like a low economy in the sector and starvation for the nation. The job of this research is to help the farmers to save crops from disease. The authors came with the thought of combining a pattern recognition method and an image processing technique. The system allows a farmer to follow a particular pattern of growing crops so that threats will be analyzed earlier. Combining this with the power of Internet of Things, the authors can automate the process without the need for human resources. This research can ultimately make the agriculture process faster and farmers can cultivate more in a less amount of time.

scholarly journals Pattern Recognition through Dip for Wind Turbine

2020 ◽  
Vol 9 (6) ◽  
pp. 448-450
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Wind Turbine ◽  
Digital Image Processing ◽  
Video Stream ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Test Items ◽  
Digital Image Processing Technique ◽  
Proposed Model

This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.

scholarly journals License Plate Recognition for Vehicle Surveillance

2020 ◽  
pp. 134-138
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Traffic Monitoring ◽  
Color Contrast ◽  
License Plate ◽  
License Plate Recognition ◽  
Optical Character

License plate recognition system plays very important role in various security aspects which includes entry monitoring of a particular vehicle in commercial complex, traffic monitoring , identification of threats and many more. In past few years many different methods has been adopted for license plate recognition system but still there is little more chance to work on real time difficulties which come across while license plate recognition like speed of vehicle, angle of license plate in picture, background of picture or color contrast of image, reflection on the license plate and so on. The combination of object detection, image processing, and pattern recognition are used to fulfill this application. In the proposed architecture , system will capture a small video and using Google's OCR(Optical Character Recognition) system will recognize license number, if that number get found in database gate will get open with the help of Arduino Uno.

Limited Length and Limited Weight Intelligent Cutting System Based on Image Pattern Recognition and Closed Loop Feedback Device

2014 ◽  
Vol 644-650 ◽  
pp. 4463-4466
Author(s):  
Yan Li Zuo ◽  
Xiao Fen Guo
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Long Distance ◽  
Loop Feedback ◽  
Limited Length ◽  
Cutting System ◽  
Image Pattern ◽  
Increase Success Rate

Rough cutting section and excess error will cause more waste and increase cost. This paper studies pattern recognition and image processing, proposes a method to implement limited length and limited weight cutting with pattern recognition and image processing technique. The experiment results show that the system is satisfactory in operation, maintenance, cutting precision, processes levels and rates of finished products. Collecting work field’s data with cameras from long-distance, this method will not only reduce the possibility for people to work in the bad circumstance, but also operate more expediently and more reliably, making the equipment and the worker safer. Strong anti-jamming can recognize the steel well and truly with these techniques. It can reduce the length error from 80mm to 10~15mm, so it can reduce product cost, and increase success rate of the finished product.

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