Company Filing History:
Years Active: 2020
Title: Xudong Mao: Innovator in Character Recognition Technologies
Introduction
Xudong Mao is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of image recognition technologies, particularly in character recognition methods and devices. With a total of 2 patents, Mao's work focuses on enhancing the efficiency and accuracy of character recognition systems.
Latest Patents
Mao's latest patents include a character recognition method and device, which aims to reduce calculation time and increase character recognition efficiency. This method involves obtaining picture data and performing calculations using shared layers between two classifiers. The first classifier recognizes specific characters, while the second determines if the picture data is a character image. The process culminates in calculating a confidence value for character recognition based on probabilities derived from both classifiers.
Another notable patent is a word segmentation system, method, and device. This innovation involves acquiring a sample image with word spacing markers and processing it through a convolutional neural network. The method enhances the accuracy and speed of word segmentation, ultimately improving user experience.
Career Highlights
Xudong Mao is currently employed at Alibaba Group Holding Limited, where he continues to develop innovative solutions in the realm of image recognition. His work has positioned him as a key figure in advancing technology that impacts various applications in digital communication and data processing.
Collaborations
Mao collaborates with talented individuals such as Mengli Cheng and Wenmeng Zhou, contributing to a dynamic environment that fosters innovation and creativity.
Conclusion
Xudong Mao's contributions to character recognition technologies exemplify the impact of innovative thinking in the tech industry. His patents reflect a commitment to improving efficiency and accuracy in image recognition, paving the way for future advancements in this critical field.