The License Plate Recognition Algorithm Using Mathematical Calculation Methods

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TABATABAEE HAMID; Ghasemi Sakineh; NAJAFZADEH MOHSEN; Zovvari Hashem

Title

The License Plate Recognition Algorithm Using Mathematical Calculation Methods

Author(s)

TABATABAEE HAMID | Ghasemi Sakineh | NAJAFZADEH MOHSEN | Zovvari Hashem | Issue Writer Certificate

Keywords

Herbal Medicine

Medicinal Plants

Tourism

Management Development

Health Tour ism

Abstract

1. Introduction As human populations and the number of vehicles are growing rapidly, it appears that vehicles need to be automatically detected. The license plate number is a unique identifier used to authenticate an automobile's identity. Applying image processing on still images or video footages taken by color, black-and-white, and infrared cameras, automatic license plate recognition systems play an important role in constructing smart parking lots, counting the number of cars, monitoring the speed of cars, maintaining roads, monitoring traffic crimes, etc. The license plate recognition (LPR) process basically consists of three general steps: locating the license plate, separating the characters, and identifying the license plate characters. locating the license plate is one of the most important and challenging steps in the automatic license plate recognition process. In this stage, if the license plate is not located in a short time with acceptable accuracy, the overall time taken by the license plate reader system will increase, making other separation and detection steps inefficient. There are a number of challenges in this regard, including the diversity of license plate shapes, uneven lighting conditions, license plate angles, distance of cameras from cars, reflection and refraction of light in the imaging process, low image quality, and time-consuming process of developing a relevant algorithm. Accordingly, it could be said that there is no single definitive solution for detecting license plates. 2. Theoretical Principles Edge detection is a widely used method in locating the license plate, using a combined algorithm based on statistical analysis and morphology of vertical edges. Some studies have applied a two-step process in which information on vertical image edge as a horizontal representation of the frequency band was used to detect the candidate areas and the exact location of the license plate. Moreover, the studies statistics published by South Khorasan Province's Cultural Heritage Office, Tourism Organization, Medical Sciences University, 4700 tourists have visited this province in the second half of the year 2017, out of whom some 354 people were selected as the study's sample size using available sampling. The study's findings revealed that most of the tourists visited South Khorasan Province's health Tourism attractions individually or in friendly groups, and few people visited the areas with their families. Moreover, the results of the analysis of the data collected by the questionnaires showed that most of the tourists stayed in those areas for less than a day. Therefore, it appears that the best way to get acquainted with and informed of South Khorasan Province's Herbal Medicine and medical herbs' attractions and opportunities is to compare the experiences of those who visited health Tourism attractions with those who visited other types of Tourism areas. 4. Conclusion The results of investigating the status of health Tourism in Iran show that the country enjoys many strengths in terms of this type of Tourism, including qualified physicians, cutting-edge technology, and natural treatment areas that can attract health tourists. However, it faces some weaknesses and challenges such as inappropriate coordination between the organizations responsible for medical Tourism and inadequate planning. Therefore, Iran can enhance its status in the health Tourism market by investing more in its strengths and introducing them as unique capabilities in terms of offering services, and overcoming its weaknesses by developing comprehensive plans, marketing, and correcting some processes. In fact, if health Tourism and Medicinal Plants' technology are well-organized, they can attract more tourists and consequently enhance the level of public knowledge and awareness, improve the society's health, increase the prosperity of Medicinal Plants' and Herbal Medicine's market, improve the economic growth rate, and increase the export of Medicinal Plants both domestically and abroad. Possessing a variety of natural attractions (parks, forests, mountains, rivers, etc. ) and appropriate climate conditions, South Khorasan province can well contribute to Iran's health Tourism if relevant organizations undertake to organize hot and mineral springs and improve their conditions, and reduce medical costs. Moreover, paying attention to factors such as investments in infrastructure and human resources to strengthen Herbal Medicine and create relevant databases, facilitating organizations in Tourism management, health services, natural resources, cultural heritage, and information technologies can significantly contribute to strengthening Tourism.

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APA: Copy

TABATABAEE, HAMID, Ghasemi, Sakineh, NAJAFZADEH, MOHSEN, & Zovvari, Hashem. (2021). The License Plate Recognition Algorithm Using Mathematical Calculation Methods. JOURNAL OF INTELLIGENT KNOWLEDGE EXPLORATION AND PROCESSING, 1(2 ), 82-99. SID. https://sid.ir/paper/1025540/en

Vancouver: Copy

TABATABAEE HAMID, Ghasemi Sakineh, NAJAFZADEH MOHSEN, Zovvari Hashem. The License Plate Recognition Algorithm Using Mathematical Calculation Methods. JOURNAL OF INTELLIGENT KNOWLEDGE EXPLORATION AND PROCESSING[Internet]. 2021;1(2 ):82-99. Available from: https://sid.ir/paper/1025540/en

IEEE: Copy

HAMID TABATABAEE, Sakineh Ghasemi, MOHSEN NAJAFZADEH, and Hashem Zovvari, “The License Plate Recognition Algorithm Using Mathematical Calculation Methods,” JOURNAL OF INTELLIGENT KNOWLEDGE EXPLORATION AND PROCESSING, vol. 1, no. 2 , pp. 82–99, 2021, [Online]. Available: https://sid.ir/paper/1025540/en

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Scientific Information Database

ISSN: 2588-4824

Journal Paper

The License Plate Recognition Algorithm Using Mathematical Calculation Methods