Detection and Localization of Arabic Text in Natural Scene Images

Text identification in natural scenes has emerged as a major research area in computer vision., with several applications including video retrieval and quick translation systems. Text identification is difficult in natural scene images due to changes in text size, color, orientation, background, contrast, and resolution. Text detection in complex backgrounds is more important to us. To address this issue, this work provides a detection and verification approach based on You Only Look Once Yolo (YOLO) algorithm. To get more accurate end findings, we use the YOLO-v4-Tiny approach to develop our custom text detection model. To evaluate the system, we constructed a ground verification system. Our method obtained 94.85% precision for experimental data.