B Ivan Strom

Title: The Innovative Mind of B Ivan Strom

Introduction

B Ivan Strom, an accomplished inventor based in Cranford, NJ, has made significant strides in the realm of optical character recognition (OCR) technology. With a focus on enhancing the economic value of recognition scores, he strives to optimize the process of character recognition across various applications, including check scanning technology.

Latest Patents

Strom holds a patent for a technique known as "Value Based Scoring for Optical Character Recognition." This innovative method produces field recognition scores that vary based on error position, allowing for a more effective evaluation of character recognition results. Specifically, Strom's patented process assesses individual character recognition scores and incorporates an "error value" related to each character's position. For instance, an error in the leftmost digit is deemed significantly more critical than an error in the rightmost digit, reflecting its higher economic value in practical applications.

Career Highlights

B Ivan Strom currently works at Lucent Technologies Inc., where he leverages his expertise in OCR and related technologies to drive innovation. His dedication to advancing character recognition systems has set him apart in the industry, contributing to his impressive patented work. Strom’s unique approach in applying economic values to error positions reshapes how OCR systems evaluate their performance and accuracy.

Collaborations

Strom has collaborated with various professionals throughout his career, including his notable coworker, Craig R Nohl. Together, they have pursued advancements in technology that enhance productivity and accuracy in OCR applications. Their combined expertise fosters a dynamic environment where innovative ideas can flourish.

Conclusion

B Ivan Strom exemplifies the spirit of innovation through his contributions to optical character recognition technology. With his patent focusing on value-based scoring, he provides a framework that not only improves the reliability of OCR systems but also aligns the technology more closely with real-world economic implications. As he continues to work at Lucent Technologies Inc., the future looks promising for both him and the advancements he is helping to create in the field of character recognition.