scholarly journals Detection of Vehicles Number Plate Using Image Processing with Template matching Method

2019 ◽  
Vol 7 (1) ◽  
pp. 14-24
Author(s):  
Ivany Sarief ◽  
Harfin Yusuf Biu ◽  
Fajar Harismana ◽  
Sepryan Ismail Chandra
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Input Image ◽  
License Plate ◽  
Processing Unit ◽  
Matching Method ◽  
Capture Process ◽  
Matching Algorithm ◽  
Template Image ◽  
Parking System

To design a system in order to identify an object number plate for the Indonesian format, an initial system is designed, in the form of a vehicle licence plate recognition application using template matching method. The goal of this application is to be implemented to the parking system by identifying the number plate. This system uses the camera for the image capture process, by utilizing image processing technology with the matching correlation template method for recognition to produce a string value from the image. Before doing recognition process, First, the pre processing stage is performed on the input image which includes grayscale, binary, until the segmentation stage before the correlation / comparison process is carried out on the image of Template. The process that occure in the pre-processing unit done for some reason including to make the image lighter and less complex. This process will make the image easer to be processed and also to increase the proses speed of the system. Before aply template matching algorithm to the image output from segmentation process, the image has to be resized first to match the size of the template image stored in data base. This has to done so that the target image and the template image can be match directly with template matching algorithm.  The output of this system is a string value which is refer to the value of the license plate capture by camera used by the system. The problem that arises in the introduction process is how to identify various types of characters with various sizes and shapes so that the string value is the same as the text image. The average success rate of this application is 70% so that further research must be carried out so this system can be implemented into the parking system. Keyword : Image Processing, Template matching, Camera, Number Plate, Matlab

Research of an Improved Snail Image Recognition Method Based on Grayscale Template Matching

2013 ◽  
Vol 433-435 ◽  
pp. 700-704
Author(s):  
Yin E Zhang
Keyword(s):  
Template Matching ◽  
Source Image ◽  
Complex Environment ◽  
Recognition Method ◽  
Matching Method ◽  
Matching Accuracy ◽  
Matching Algorithm ◽  
Template Image ◽  
Traditional Algorithm ◽  
Template Selection

As the lack in the accuracy and speed of the template matching algorithm for the snail image in the complex environment, the snail source image and the template image have the appropriate scaling in order to improve their sizes in the traditional algorithm. The new algorithm avoids the very big and accurate characteristics about the snail images through shrinking the source images down. The grayscale template matching method is put forward based on the traditional template selection set to prevent that the error caused by human factors on the selected template, the redundancy between the templates is removed in a large extent, further the accuracy of the matching is improved, and the matching time is reduced greatly in the case of matching accuracy guarantee.

scholarly journals PENGENALAN IRIS MATA MENGGUNAKAN METODE TEMPLATE MATCHING CORRELATION

2019 ◽  
Vol 2 (2) ◽  
pp. 105
Author(s):  
Sayuti Rahman ◽  
Ulfa Sahira
Keyword(s):  
Correlation Coefficient ◽  
Programming Language ◽  
Template Matching ◽  
Matching Method ◽  
Processing Stage ◽  
Matching Algorithm ◽  
Template Image ◽  
Automatic Methods ◽  
System Success ◽  
Human Characteristic

Abstract - Biometrics is the study of automatic methods for recognizing humans based on one or more parts of the human body that are unique. One human characteristic that can be used is iris, iris features can be used as distinguishing characteristics with other individuals. The stage that the writer did to be able to recognize the iris pattern of someone's eye in a digital image was the pre-processing stage, the template saving stage and the matching stage. In this study the author applies the template matching method to store the image into a template image stored in the database and the algorithm correlation coefficient for the characteristic matching algorithm between template data and test data. The application is designed using the Matlab R2010a programming language. The results of testing 22 images obtained by the percentage of system success was 86.36%. Keywords - Iris, Template Matching, Correlation Coefficient

scholarly journals PENERAPAN METODE TEMPLATE MATCHING DALAM MENGANALISA CACAT PADA KEPING PCB

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Mustika Sonsank ◽  
Yasdinul Huda ◽  
Khairi Budayawan
Keyword(s):  
Image Processing ◽  
Damage Detection ◽  
Template Matching ◽  
Good Condition ◽  
Input Image ◽  
Matching Method ◽  
Final Project ◽  
Long Time ◽  
Process Detection ◽  
High Degree

Template matching is one of the techniques in digital image processing function to match each part of an image with an image into a template (reference). Template matching method is often used to identify the image of the character of letters, numbers, fingerprints, and other matching applications. In this final project will be made on the damage detection applications PCB track, this is due to PCB circuit paths that are too small and tight, so the detection manually, by using on the human eye will take a long time and a high degree of exhaustion. Making an application is intended to speed up the process detection of damage to the PCB track. The method used in this application is a method of Template Matching with Delphi programming language. Algorithms method Template Matching will classify the object, by comparing the image with a reference PCB with PCB input image. The results of applications  showed that PCB track damage detection method can detect with Template Matching damage on  the PCB track, which is marked by a red rectangular box if there is damage on  the PCB. If there is no damage on the PCB, then a warning box appears informing the PCB in good condition, without any defects. Keywords: PCB, Template Matching Method, Image Processing, Delphi

scholarly journals Pengenalan Plat Kendaraan Bermotor dengan Menggunakan Metode Template Matching dan Deep Belief Network

2019 ◽  
Vol 19 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Michael Michael ◽  
Frenky Tanoto ◽  
Eric Wibowo ◽  
Frenky Lutan ◽  
Abdi Dharma
Keyword(s):  
Template Matching ◽  
Deep Belief Network ◽  
License Plate ◽  
Matching Method ◽  
Matching Algorithm ◽  
Belief Network ◽  
Traffic Police ◽  
The Third ◽  
The Mean ◽  
Success Percentage

The license plate of the vehicle is unique and is only owned by one vehicle per vehicle plate series, to make it easier for the police, especially the traffic police, to track traffic violators through the vehicle number plate. The Deep Belief Network algorithm works by processing the dataset through 3 stages, where the first layer is trained, the results of the first layer are then re-trained, and the results of the second layer calculation are made into the third layer count, the mean results on the calculation of the third layer become the result of learning Deep Belief Network then with the Template Matching algorithm, Deep Belief Network is assisted with the introduction of vehicle plates. In a study conducted using the DBN algorithm with the Template Matching method succeeded in recognizing a vehicle plate with a success percentage of 80% from 20 trials. The experiments carried out included plates that were not clearly seen. Failures that occur in the trials are generally due to under- or over-lighting on the vehicle plate.

scholarly journals Template Matching dalam Otomatisasi Penghitung Sel Keping Darah Berbasis Image Processing untuk Deteksi Dini Derajat Penyakit Demam Berdarah

2018 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Amelia Yolanda ◽  
Deddy Prayama ◽  
Aulia Ramadhani
Keyword(s):  
Image Processing ◽  
Dengue Hemorrhagic Fever ◽  
Template Matching ◽  
Hemorrhagic Fever ◽  
Matching Method ◽  
System Testing ◽  
Blood Tests ◽  
Automatic Systems

One of the diseases that can be detected through blood tests is Dengue Hemorrhagic Fever (DHF). The number of platelets are one of the guidelines used by doctors diagnosing DHF. Actually, platelets can be calculated manually, but it will be very difficult if the platelets are counted quite a lot. So, we need a technology that can calculate the number of platelets quickly and automatized to get more accurate results.   The automatic systems built by using the template matching method with  image processing include HSL Segmentation with Luminance type and Reverse Color Manipulation. After building the system, the system will automatically look for objects that match the template in the sample image and then give the marking and calculate it.The overall system testing results are the number of platelets which are then classified manually at what degree of DHF.

scholarly journals First results in the development of a mobile robot with trajectory planning and object recognition capabilities

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Talgat Islamgozhayev ◽  
Maksat Kalimoldayev ◽  
Arman Eleusinov ◽  
Shokan Mazhitov ◽  
Orken Mamyrbayev
Keyword(s):  
Image Processing ◽  
Object Recognition ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Educational Research ◽  
Trajectory Planning ◽  
Template Matching ◽  
Processing Unit ◽  
First Results ◽  
Recognition Systems

Abstract The use of mobile robots is becoming popular in many areas of service because they ensure safety and good performance while working in dangerous or unreachable locations. Areas of application of mobile robots differ from educational research to detection of bombs and their disposal. Based on the mission of the robot they have different configurations and abilities – some of them have additional arms, cranes and other tools, others use sensors and built-in image processing and object recognition systems to perform their missions. The robot that is described in this paper is mobile robot with a turret mounted on top of it. Different approaches have been tested while searching for best method suitable for image processing and template matching goals. Based on the information from image processing unit the system executes appropriate actions for planning motions and trajectory of the mobile robot.

Digital Image Processing and Coordinate Transformation for Vic-3D System

2013 ◽  
Vol 333-335 ◽  
pp. 1002-1006
Author(s):  
Sha Jia Song ◽  
Neng He
Keyword(s):  
Image Processing ◽  
Correlation Analysis ◽  
Coordinate Transformation ◽  
Affine Transformation ◽  
Template Matching ◽  
Least Square Method ◽  
Least Square ◽  
3D Measurement ◽  
Matching Method ◽  
3D Measurement System

This paper discusses the problem about the processing of the images collected by Vic-3D measurement system and the coordinate transformation between the pixel coordinate and plane coordinate. Correlation analysis on image information is carried out by using Matlab. Template matching method is used to get the pixel coordinates of the marked part on the images. Based on affine transformation and least square method, I transform the pixel coordinates of the marked part on the images into the plane coordinates.

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