Development of New Anpr Dataset for Automatic Number Plate Detection and Recognition in North of Iraq

An automatic number plate detection (ANPD) and automatic number plate recognition (ANPR) systems are robust technologies that are used for detecting and recognizing the number plates of vehicles. In this paper, a new dataset, which is called North Iraq-Vehicle Images (NI-VI) of three provinces (Duhok, Erbil, and Sulaimani) for vehicle images, is presented. There are 1500 images in this dataset. They were gathered from real-time by using handled cameras to form a realistic dataset of the vehicle images. The main contribution of this work is the creation of a new dataset for license plate of vehicles in north Iraq with Arabic fonts in different and difficult conditions. The dataset includes three categories of images: rotated, scaled and translated images. The resolutions of images are 4288 x 2848 and 5184 x 3456. Moreover, some images created for bad weather conditions, such as snowy, dusty and low lighting. Some dirty plate images also considered in the dataset. The purpose of introducing this dataset is to provide and produce a realistic dataset for ANPD and as well as for ANPR systems.

[1]  Nandan More,et al.  License Plate Identification Using Artificial Neural Network and Wavelet Transformed Feature Selection , 2015, 2015 International Conference on Pervasive Computing (ICPC).

[2]  Cláudio Rosito Jung,et al.  Real-Time Brazilian License Plate Detection and Recognition Using Deep Convolutional Neural Networks , 2017, 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

[3]  William R. Schwartz,et al.  A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

[4]  Palaiahnakote Shivakumara,et al.  Riesz Fractional Based Model for Enhancing License Plate Detection and Recognition , 2018, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  Kang-Hyun Jo,et al.  Vehicle License Plate Detection Method Based on Sliding Concentric Windows and Histogram , 2009, J. Comput..

[6]  Gee-Sern Hsu,et al.  Application-Oriented License Plate Recognition , 2013, IEEE Transactions on Vehicular Technology.

[7]  Yong Zhao,et al.  Robust license plate detection using profile-based filter , 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).

[8]  Yan Li,et al.  An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions , 2020, IEEE Transactions on Intelligent Transportation Systems.

[9]  M. Oliveira,et al.  Automatic Detection of Cars in Real Roads using Haar-like Features , 2008 .

[10]  Luis Salgado,et al.  Video analysis-based vehicle detection and tracking using an MCMC sampling framework , 2012, EURASIP J. Adv. Signal Process..

[11]  Xiangjian He,et al.  Automatic License Plate Recognition: a Review , 2004, CISST.

[12]  Wael Badawy,et al.  Automatic License Plate Recognition (ALPR): A State-of-the-Art Review , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[13]  Qiang Ni,et al.  IoT-Driven Automated Object Detection Algorithm for Urban Surveillance Systems in Smart Cities , 2018, IEEE Internet of Things Journal.

[14]  Max Q.-H. Meng,et al.  A novel license plate location method based on wavelet transform and EMD analysis , 2015, Pattern Recognit..

[15]  Subhadip Basu,et al.  iLPR: an Indian license plate recognition system , 2014, Multimedia Tools and Applications.

[16]  Ghazali Sulong,et al.  Development of a video tampering dataset for forensic investigation. , 2016, Forensic science international.

[17]  Sajid Hussain,et al.  Multinational vehicle license plate detection in complex backgrounds , 2017, J. Vis. Commun. Image Represent..

[18]  Lianwen Jin,et al.  A New CNN-Based Method for Multi-Directional Car License Plate Detection , 2018, IEEE Transactions on Intelligent Transportation Systems.

[19]  Sukhvir Kaur,et al.  An Efficient Approach for Number Plate Extraction from Vehicles Image under Image Processing , 2014 .

[20]  Shahab A. Abdulla,et al.  Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images , 2018, Expert Syst. Appl..

[21]  Umar Farooq,et al.  Automatic license plate recognition using extracted features , 2016, 2016 4th International Symposium on Computational and Business Intelligence (ISCBI).