scholarly journals AUTOMATIC NUMBER PLATE RECOGNITION FOR DIFFERENT FONTS AND NON-ROMAN SCRIPT

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Kirad Varad Vinay ◽  
Indla Omkar Balaobaiah ◽  
Mujawar Sohail Mahiboob ◽  
Shinde Dinesh Nagnath ◽  
Prof. Darshana Patil
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Red Light ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Learning Technology ◽  
Size Number ◽  
Roman Script

According to survey taken the total number of vehicles in [1] India were 260 million. Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) systems [1] in India because of the large number of vehicles travelling on the roads. [1] It would also help in proper tracking of the vehicles, traffic examining, finding stolen vehicles, supervising parking toll and imposing strict actions against red light breaching. Automatic number plate recognition is image processing technique for finding number plate from image and extracting characters from detected number plate. ANPR in India has always been challenging due to different lighting conditions, changes in fonts, shapes, angles, letters size, number of lines and padding between lines, different languages used. In our project we proposed a model that can detects number plate with considering all irregularities. this system uses Computer vision and machine learning technology in order to detect number plate from image. In our proposed system number plate can be of different fonts and non-roman script. For identification of characters from number plate we use OCR (Optical character recognition) technique. OCR involves two parts: Character segmentation and Character Recognition. This OCR system can be used to extract characters of different fonts and non-roman script. The Quality of OCR depends on the quality of image, image contrast, text font style and size. To improve quality of OCR we can use image processing technique to enhance quality of image.

scholarly journals Advanced car-parking security platform using Arduino along with automatic license and number recognition

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Bafreen Najeb Mohammed ◽  
Hawar B. Ahmad
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Development Platform ◽  
Number Recognition ◽  
Open Source Hardware

The open-source hardware development platform Arduino has been growing in recent years. Nowadays, the Arduino platform became one of the important parts in remote control and monitor of electrical devices. This paper aims to propose an application of digital image processing along with Arduino, which can be useful in car-parking place to be more secure. Arduino will detect the car and take a picture for its plat and send it to the system. Then, system applies digital image processing technique in the image. Different algorithms are incorporated in system such as segmentation, normalization, localization, orientation and optical character recognition (OCR) which analyze certain features in image and predicts car plate numbers. Afterwards the resulting data are compared against records in a stored database.

scholarly journals SMT Component Inspection in PCBA’s using Image Processing Techniques

2019 ◽  
Vol 8 (12) ◽  
pp. 541-547
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Low Cost ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Reference Image ◽  
Small Scale ◽  
Contour Analysis ◽  
Automated Optical Inspection

In the present evolving technology, an Automated Optical Inspection is a solution for identifying the various types of defects occurring in assembled PCB with SMT components. As these high-end machines are expensive, moreover the small scale industries can’t afford such a huge investment, in this paper a low cost image processing technique where a good known reference image is compared with the acquired image is being tried. This work provides an automated approach for identifying few of the defects related to the SMT components found in the assembled PCB, using three different techniques namely Contour Analysis, Optical Character Recognition and Pixel Subtraction for identifying shifted components, value of the components and missing components respectively in LabVIEW platform. The time taken for identifying the various defects through different techniques are calculated and tabulated. Using these techniques the number of errors can be decreased in turn the end performance can also be enhanced with the increased production yield.

Compact Disc Visual Inspection Using Neural Network

2012 ◽  
Vol 433-440 ◽  
pp. 727-732
Author(s):  
Anton Satria Prabuwono ◽  
Siti Rahayu Zulkipli ◽  
Doli Anggia Harahap ◽  
Wendi Usino ◽  
A. Hasniaty
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Visual Inspection ◽  
Processing Technique ◽  
Compact Disc ◽  
Image Processing Technique ◽  
Accuracy Rate ◽  
Network Training ◽  
Fields Of Study

Image processing is widely used in various fields of study including manufacturing as product inspection. In compact disc manufacturing, image processing has been implemented to recognize defect products. In this research, we implemented image processing technique as pre-processing processes. The aim is to acquire simple image to be processed and analyzed. In order to express the object from the image, the features were extracted using Invariant Moment (IM). Afterward, neural network was used to train the input from IM’s results. Thus, decision can be made whether the compact disc is accepted or rejected based on the training. Two experiments have been done in this research to evaluate 40 datasets of good and defective images of compact discs. The result shows that accuracy rate increased and can identify the quality of compact discs based on neural network training.

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

scholarly journals Can the Image Processing Technique Be Potentially Used to Evaluate Quality of Frying Oil?

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Patchimaporn Udomkun ◽  
Bhundit Innawong ◽  
Wantakan Sopa
Keyword(s):  
Image Processing ◽  
Contact Angle ◽  
Vision System ◽  
Processing Technique ◽  
Frying Oil ◽  
Image Processing Technique ◽  
Frying Time ◽  
Polar Materials ◽  
Highly Correlated

The objective of this study was to investigate the feasibility of a computer vision system (CVS) for assessing the contact angle of frying oil. The oil was used to fry carbohydrate- and protein-based foods for 40 h, and the oil was collected for measuring free fatty acids (FFA), peroxide value (PV), total polar materials (TPMs), and FOS reading (dielectric constant). The results showed that FFA linearly increased with frying time (R2 > 0.95) while the polynomial correlation between TPMs and FOS reading as a result of time was observed (R2 > 0.97). The contact angle obtained from CVS was highly correlated with all chemical qualities (R2 > 0.94), except PV. In addition, the contact angle models could be used to adequately predict FFA, TPMs, and FOS reading of frying oil (R2 > 0.91). This result suggested that the image processing technique through CVS could be an appropriate alternative to chemical analysis, especially for small- and medium-scale industrial frying.

scholarly journals Harumanis mango leaf disease recognition system using image processing technique

2021 ◽  
Vol 23 (1) ◽  
pp. 378
Author(s):  
R. A. JM. Gining ◽  
S. S. M. Fauzi ◽  
N. M . Yusoff ◽  
T. R. Razak ◽  
M. H. Ismail ◽  
...  
Keyword(s):  
Image Processing ◽  
Recognition System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Human Errors ◽  
Leaf Disease ◽  
Rgb Image

Current Harumanismango farming technique in Malaysia still mostlydepends on the farmers' own expertise to monitor the crops from the attack ofpests and insects. This approach is susceptible to human errors, and thosewho do not possess this skill may not be able to detect the disease at the righttime. As leaf diseases seriously affect the crop's growth and the quality of theyield, this study aims to develop a recognition system that detects thepresence of disease in the mango leaf using image processing technique.First, the image is acquired through a smartphone camera; once it has beenpre-processed, it is then segmented in which the RGB image is converted toan HSI image, then the features are extracted. Lastly, the classification ofdisease is done to determine thetype of leaf disease. The proposed systemeffectively detects and classify the disease with an accuracy of 68.89%. Thefindings of this project will contribute to farmers and society's benefit, andresearchers can use the approach to address similar issues in future works.

Interactive Remote Control System for Three Dimensional Displays

2011 ◽  
Vol 145 ◽  
pp. 73-77
Author(s):  
Yu Cheng Fan ◽  
Chang Wei Fan ◽  
Wei Chun Ting ◽  
Guan Fu Lee
Keyword(s):  
Image Processing ◽  
Control System ◽  
Remote Control ◽  
Three Dimensional ◽  
Processing Technique ◽  
Design Flow ◽  
Image Processing Technique ◽  
Remote Control System ◽  
Metals Processing

In this paper, we propose an interactive remote control system using image processing technique for three dimensional displays. In order to control three dimensional displays, we present an algorithm based on gestures recognition. Then we adopt cell-based design flow and 0.18μm TSMC single poly and six metals processing to perform the system chip. Besides, the SMIMS FPGA development board is used to achieve the system. The results prove the performance reaching the well quality of interactive remote control system for three dimensional displays.

Modeling Grape Leaf Quality Using Image Processing Technique

2021 ◽  
Author(s):  
Mohammad Mohammadi Hashemi ◽  
Omid Bahmani
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Careful Consideration ◽  
Image Processing Technique ◽  
Leaf Quality ◽  
Geometrical Characteristics ◽  
Area And Perimeter ◽  
Grape Leaf ◽  
Grape Varieties

Abstract Grapes are familiar fruits in the Mediterranean, Central Europe and Southwest Asia. Various components of this plant have many uses, including leaves used in the preparation of foods. The quality of the grape leaves is especially important for the preparation of food and this requires careful consideration. One of the indicators of grape leaf selection in food is its surface integrity and absence of grooves. In this paper, by using image processing technique, the geometrical characteristics of the grape leaf including its area and perimeter are extracted and numerical value is given based on the defined index. For this purpose, leaves of four grape varieties were collected from different areas of Boroujerd City in Iran and modeling was done according to this research method. By categorizing the results that range between zero and one, two grape varieties have better Quality Index than other varieties and it is suggested as a suitable type for leaf use.

Evaluation of Surface Roughness of Machined Fiber Reinforced Composites Plastics Using Image Processing

2014 ◽  
Vol 573 ◽  
pp. 627-631
Author(s):  
G. Dilli Babu ◽  
K. Sivaji Babu ◽  
B. Uma Maheswar Gowd
Keyword(s):  
Image Processing ◽  
Surface Roughness ◽  
High Volume ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Experimental Result ◽  
Fiber Reinforced ◽  
Reinforced Plastics ◽  
Fiber Reinforced Plastics

The measurement of surface roughness of the machined Fiber Reinforced Plastics is very important to assess the quality of a composite, which is normally carried out using taly-surf stylus instruments. This method of measuring is accepted widely by all the researchers. But, this process is not suitable for high volume applications as it is time consuming and cumbersome. With rising demand of industrial automation in manufacturing process, image processing technique plays an important role in inspection and process monitoring. In this paper, a new parameter for determining surface roughness of machined fiber reinforced specimens was proposed using image processing technique. The experimental result indicates that the surface roughness of machined composites could be predicted with a reasonable accuracy using image processing technique.

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