Lansing, MI, United States of America

Lin Hong


Average Co-Inventor Count = 4.0

ph-index = 6

Forward Citations = 846(Granted Patents)


Company Filing History:


Years Active: 2000-2002

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6 patents (USPTO):Explore Patents

Title: Lin Hong: Innovator in Fingerprint Technology

Introduction

Lin Hong is a distinguished inventor based in Lansing, MI (US), known for his contributions to the field of fingerprint technology. With a total of 6 patents to his name, he has made significant strides in developing systems and methods that enhance the accuracy and efficiency of fingerprint recognition.

Latest Patents

One of Lin Hong's latest patents is a system and method for deriving a string-based representation of a fingerprint image. This invention focuses on creating a one-dimensional representation for a set of points, such as minutiae, in a two-dimensional fingerprint image. By selecting a landmark point from the image, the system establishes a linear order for the points and their associated attributes, facilitating a more streamlined analysis of fingerprint data.

Another notable patent involves determining alignment parameters between two fingerprint images. This system and method utilize the attributes of segments associated with corresponding points extracted from each image to calculate the necessary rotation angle and translation vector for accurate alignment.

Career Highlights

Lin Hong is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with leading experts in the field, further advancing his research and innovations in fingerprint technology.

Collaborations

Some of Lin Hong's notable coworkers include Anil K Jain and Rudolf Maarten Bolle, both of whom are recognized for their expertise in biometric systems and image processing.

Conclusion

Lin Hong's innovative contributions to fingerprint technology have established him as a key figure in the field. His patents reflect a commitment to enhancing the accuracy and efficiency of biometric identification systems.

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