Hsin-Tso Chen

Title: Hsin-Tso Chen: Innovating Fingerprint Identification Technology

Introduction

Hsin-Tso Chen is a prominent inventor based in Taipei, Taiwan, known for his significant contributions to fingerprint identification technology. With a total of six patents to his name, Chen has been at the forefront of developing methods that enhance the functionality and efficiency of fingerprint sensors.

Latest Patents

Among his latest innovations are two critical patents: the "Method for assembling fingerprint identification module" and the "Fingerprint sensor cutting method." The first patent outlines a systematic approach to assembling fingerprint identification modules. It emphasizes the importance of combining a protective cover and a fingerprint sensing element, followed by careful placement on a circuit board. An adhesive film is then applied, ensuring that the overall thickness aligns with predetermined specifications.

The second patent focuses on the cutting process of the fingerprint sensor. By retaining the thin junction slices between the sensors, this method optimizes the size of the sensors and ensures they meet rigorous size tests, ultimately enhancing production efficiency while minimizing potential errors during manufacturing.

Career Highlights

Throughout his career, Hsin-Tso Chen has worked with esteemed companies such as Primax Electronics Ltd. and Behavior Tech Computer Corporation. His roles in these organizations have allowed him to apply his expertise in developing innovative solutions for fingerprint recognition technologies.

Collaborations

During his professional journey, Chen has collaborated with notable peers, including Mao-Hsiu Hsu and Ying-Chieh Chuang. These partnerships have fostered an environment of creative synergy, leading to more groundbreaking advancements in the field of fingerprint technology.

Conclusion

Hsin-Tso Chen's contributions to the realm of fingerprint identification technology have established him as a key figure in innovation. His latest patents reflect his commitment to enhancing efficiency and precision in sensor technology. As he continues to develop new methods, his work promises to influence the future of biometric identification.