MACHINE PERCEPTION AND ROBOTICS GROUP

Dept. of Robotics Science and Technology,
Chubu University

Character recognition collects item keywords from images from e-commerce websites; however, it requires a huge amount of training data. In this paper, we propose an efficient method to collect the training data by generating synthesis images and emphasizing outlines to obtain realistic images. The proposed method improves recognition accuracy on both generated images and real images from e-commerce websites.