Yi-Jian Wu

Title: Yi-Jian Wu: Innovator in Handwriting Recognition Technology

Introduction

Yi-Jian Wu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of handwriting recognition technology. With a total of 3 patents, his work focuses on advanced methods for generating and recognizing handwritten characters.

Latest Patents

One of Yi-Jian Wu's latest patents is titled "Hidden Markov Model Based Handwriting/Calligraphy Generation." This exemplary method involves receiving one or more characters and generating handwritten characters using Hidden Markov Models trained specifically for this purpose. The trained models can be adapted using techniques such as maximum a posteriori, maximum likelihood linear regression, or Eigen-space techniques. Another notable patent is "Radical-Based HMM Modeling for Handwritten East Asian Characters." This patent describes methods, systems, and computer-readable media for developing and training models for online handwriting recognition. It includes defining radical nodes, which represent structural elements of characters, and connection nodes that illustrate spatial relationships between radicals.

Career Highlights

Yi-Jian Wu is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to further his research and development in handwriting recognition technologies. His innovative approaches have positioned him as a key figure in this specialized field.

Collaborations

Throughout his career, Yi-Jian Wu has collaborated with notable colleagues, including Peng Liu and Lei Ma. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Yi-Jian Wu's contributions to handwriting recognition technology demonstrate his expertise and innovative spirit. His patents reflect a deep understanding of complex modeling techniques that enhance the generation and recognition of handwritten characters.