Company Filing History:
Years Active: 2001-2007
Title: Seong-Won Cho: Innovator in Iris Recognition Technology
Introduction
Seong-Won Cho is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of biometric technology, particularly in iris recognition systems. With a total of 3 patents, his work focuses on enhancing the accuracy and efficiency of iris recognition methods.
Latest Patents
One of his latest patents is titled "Daubechies wavelet transform of iris image data for use with iris recognition system." This invention relates to a method of recognizing the human iris, utilizing the Daubechies wavelet transform to reduce the dimensions of characteristic vectors. By extracting iris features from inputted iris image signals, the method improves the utility of human iris recognition by enhancing storage capacity and processing time.
Another notable patent is "Iris image data processing for use with iris recognition system." This invention describes a non-contact-type human iris recognition method that corrects rotated iris images. The method employs image acquisition equipment with an infrared illuminator to accurately detect the inner and outer boundaries of the iris. This advancement significantly reduces the false acceptance and rejection rates in iris recognition.
Career Highlights
Seong-Won Cho has worked with notable companies such as Senga Advisors, LLC and Samsung Electronics Co., Ltd. His experience in these organizations has contributed to his expertise in biometric technologies and innovation in iris recognition systems.
Collaborations
Throughout his career, Seong-Won Cho has collaborated with talented individuals, including Jae-Sun Park and Hong-Gyu Kim. These collaborations have further enriched his work and contributed to advancements in the field.
Conclusion
Seong-Won Cho is a distinguished inventor whose work in iris recognition technology has paved the way for more efficient biometric systems. His innovative patents demonstrate a commitment to improving the accuracy and reliability of iris recognition methods.