Jong Ub Suk

Title: Jong Ub Suk: Innovator in Scene Text Detection and Recognition

Introduction

Jong Ub Suk is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of scene text detection and recognition, holding 2 patents that showcase his innovative approaches. His work is characterized by the application of advanced deep learning techniques to improve text recognition in various environments.

Latest Patents

Jong Ub Suk's latest patents include a "Scene text detection method and system based on sequential deformation." This method involves extracting a first feature map from a scene image using a convolutional neural network. It further processes the feature map through a sequential deformation module to enhance text detection accuracy. The second patent, titled "Multi-directional scene text recognition method and system based on multi-element attention mechanism," focuses on normalizing text images and utilizing a deep convolutional neural network to extract features. This method employs a multi-channel feature map and an encoder-decoder architecture to achieve effective text recognition.

Career Highlights

Throughout his career, Jong Ub Suk has worked with notable institutions, including Tsinghua University and Hyundai Motor Company. His experience in these organizations has allowed him to collaborate on various innovative projects, further enhancing his expertise in the field of text recognition technologies.

Collaborations

Some of his notable coworkers include Liangrui Peng and Ruijie Yan. Their collaborative efforts have contributed to the advancement of technologies in scene text detection and recognition.

Conclusion

Jong Ub Suk's contributions to scene text detection and recognition highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex algorithms and their practical applications in real-world scenarios.