Company Filing History:
Years Active: 2015
Title: Igor Krivokon: Innovator in Quality Evaluation and Optical Character Recognition
Introduction
Igor Krivokon is a notable inventor based in Belmont, CA, who has made significant contributions to the fields of quality evaluation and optical character recognition. With a total of 2 patents, his work focuses on developing methods and systems that enhance the accuracy and efficiency of these technologies.
Latest Patents
Igor's latest patents include innovative approaches to evaluating quality based on neighbor features. This method involves obtaining a quality model trained on a set of training entities and identifying candidate entities that differ from these training entities. For each candidate entity, the process includes obtaining a first quality score, neighbor features, and entity-specific feature values to determine a second quality score using the quality model.
Another significant patent pertains to determining optical character recognition parameters. This method utilizes an OCR engine to generate responses from sample pages of a document. It identifies a dominant OCR parameter based on the generated responses, contributing to advancements in OCR technology.
Career Highlights
Igor Krivokon is currently employed at Google Inc., where he applies his expertise in developing innovative solutions. His work at Google has allowed him to be at the forefront of technological advancements in quality evaluation and OCR.
Collaborations
Igor has collaborated with notable colleagues, including Dar-Shyang Lee and Luc Vincent, contributing to a dynamic and innovative work environment.
Conclusion
Igor Krivokon's contributions to quality evaluation and optical character recognition demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of complex systems and a drive to improve existing methodologies.