This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Ratnakar Krishnama: Innovator in Synthetic Data Generation
Introduction
Ratnakar Krishnama is an accomplished inventor based in Glen Allen, VA (US). He has made significant contributions to the field of synthetic data generation, particularly in the realm of simulated handwriting. With a total of 2 patents to his name, Krishnama's work is paving the way for advancements in computer vision processes.
Latest Patents
His latest patents focus on techniques for generating synthetic data with simulated handwriting. Various embodiments are directed to creating simulated handwriting based on input text. Attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. These randomized glyphs can then replace glyphs in an input text to generate simulated handwriting. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. Noise may also be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. One embodiment even simulates a handwritten check that is used to train or evaluate an optical character recognition process.
Career Highlights
Ratnakar Krishnama is currently employed at Capital One Services, LLC, where he continues to innovate and develop new techniques in his field. His work is instrumental in enhancing the capabilities of computer vision technologies.
Collaborations
Some of his notable coworkers include Kenneth B Brewer and Neeraj Sharma, who contribute to the collaborative environment that fosters innovation at Capital One Services.
Conclusion
Ratnakar Krishnama's contributions to synthetic data generation are significant and impactful. His innovative techniques are shaping the future of computer vision and data processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
