An Analytical Approach for Enhancing the Automatic Detection and Recognition of Skewed Bangla License Plates

Roy, Koushik; Khan, Abu Mohammad Shabbir; Ali, Mohammad Zariff Ahsham; Simanto, Sazid Rahman; Mohammed, Nabeel; Atick, Muhammad Asif; Islam, Shahidul; Islam, Kazi Mejbaul

doi:10.1109/icbslp47725.2019.201528

Cited by 3 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [9]- [11], OCR model had been used for experiment. Objects of the paper is Greece car plate that have the similar database of characters and digits with mentioned experiments.…”

Section: Related Workmentioning

confidence: 99%

“…Two-layer probabilistic neural network (PNN) gave the result of recognition of 86% in corresponding scenarios Li et al [11] without skewed or distorted objects concerned. A failure of detection happened in Roy et al [9] when objects change to digital image together. The drawback in [9] is similar to that of [8], [12] where the samples are taken image from frontal view.…”

Section: Related Workmentioning

confidence: 99%

“…A failure of detection happened in Roy et al [9] when objects change to digital image together. The drawback in [9] is similar to that of [8], [12] where the samples are taken image from frontal view. The result is not good when working under poor condition.…”

Section: Related Workmentioning

confidence: 99%

“…To solve the problems, we decide to choose the WPOD-NET to recognize the plate based on [5], [8], [9], [11]. Besides, authors [1] also use the same network but their dataset does not contain square plate Vietnam.…”

Section: Related Workmentioning

confidence: 99%

“…Comparison object Advance of algorithm 1 WPOD-NET [9], [11] Accuracy is 86% in most challenging scenarios containing oblique license plates 2 SO [14], [15] Accuracy [14] is 93.7% while processing time [15] is only 2 seconds 3 Algorithm [13] 78% of plate recognition without using noise reduction process 4…”

Section: Table 1 Comparison Of Effective Algorithmsmentioning

confidence: 99%

See 4 more Smart Citations

Proposing WPOD-NET combining SVM system for detecting car number plate

Huu

Quoc

2021

IJ-AI

View full text Add to dashboard Cite

<span lang="EN-US">Nowadays, there are many smart parking lots using plate detection system to control in/out vehicles. However, the disadvantages of systems are a fixed environment and necessity of manual labor and requirement of checkpoints in entrances. To solve the problems, a novel algorithm for wide-angle detecting car number plate using warped planar object detection (WPOD-NET) and a modified support vector machine (SVM) system is proposed. Comparing to other models, the proposal improves not only the range of detection angle but also the accuracy of detecting in shady conditions. The results show that the accuracy of proposal model is up to 95.1% with 1000 testing images in various scenarios.</span>

show abstract

“…In [9]- [11], OCR model had been used for experiment. Objects of the paper is Greece car plate that have the similar database of characters and digits with mentioned experiments.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Table 1 Comparison Of Effective Algorithmsmentioning

confidence: 99%

See 3 more Smart Citations

Proposing WPOD-NET combining SVM system for detecting car number plate

Huu

Quoc

2021

IJ-AI

View full text Add to dashboard Cite

show abstract

ALPR: ResNet50 powered Bangla License Plate Detectionand OCR by Root Mean Square Propagation Optimizer and Linear SVM Classifier

Chowdhury,

Pal Summit,

Ahmed Laskar

et al. 2024

2024 IEEE 9th International Conference for Convergence in Technology (I2CT)

View full text Add to dashboard Cite

Indian License Plate and Vehicle Type Recognition

Sambhavi¹,

Koushik²,

Fathima³

2023

IoT, Cloud and Data Science

View full text Add to dashboard Cite

In light of the growing number of vehicles, automated license plate recognition (ALPR) systems are much needed. The ALPR system is a widely used technology for various vehicle management processes such as law enforcement, surveillance, toll booth operations, parking lots, etc. We propose a license plate recognition system, where a neural network concept is applied. This system includes image pre-processing which helps to quickly and easily locate, segment and recognize the license plate characters, so image pre-processing is one of the important factors that affect total system performance. As we are performing the character segmentation of the license plate, the accuracy of the character recognition increases. In India, license plates are not only different in shape and size but also have different colours according to the registration or license number in India. There are 8 types of license plates in total issued by the RTO. In this effort, we identify the type of license plate by detecting the colour of the license plate. Thus vehicle registration types are recognized from the colour of the license plate detected.

show abstract

An Analytical Approach for Enhancing the Automatic Detection and Recognition of Skewed Bangla License Plates

Cited by 3 publications

References 7 publications

Proposing WPOD-NET combining SVM system for detecting car number plate

Proposing WPOD-NET combining SVM system for detecting car number plate

ALPR: ResNet50 powered Bangla License Plate Detectionand OCR by Root Mean Square Propagation Optimizer and Linear SVM Classifier

Indian License Plate and Vehicle Type Recognition

Contact Info

Product

Resources

About