This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: The State University of New York. Active years: 1996-2009.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Tonawanda, NY (US) (1996)
- Williamsville, NY (US) (2009)
Company Filing History:
Years Active: 1996-2009
Title: Innovations by Venugopal Govindaraju
Introduction
Venugopal Govindaraju is a notable inventor based in Tonawanda, NY (US). He has made significant contributions to the field of biometric analysis and handwriting recognition. With a total of two patents to his name, his work showcases the intersection of technology and human interaction.
Latest Patents
Govindaraju's latest patents include a method and apparatus for analyzing and/or comparing handwritten and/or biometric samples. This innovative computer-based method compares biometric samples by analyzing vectors that contain biometric features. The method calculates distances in a two-dimensional feature space, allowing for effective comparison of biometric samples. Another significant patent is a system for recognizing handwritten words of cursive script. This system extracts temporal information from static text, translating it into a digital format for word recognition. By comparing this digital information with known words stored in computer memory, the system generates a list of potential matches, enhancing the accuracy of handwriting recognition.
Career Highlights
Venugopal Govindaraju is affiliated with the State University of New York, where he continues to advance research in biometric analysis and handwriting recognition. His work has implications for various applications, including security and user interface design.
Collaborations
Some of his notable coworkers include Sargur N Srihari and Yong-Chul Shin, who have collaborated with him on various projects in the field of biometric technology.
Conclusion
Venugopal Govindaraju's contributions to biometric analysis and handwriting recognition reflect his innovative spirit and dedication to advancing technology. His patents demonstrate the potential for improving how we interact with machines through more intuitive and accurate recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
