Mountain View, CA, United States of America

Rakesh Kandpal



Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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3 patents (USPTO):Explore Patents

Title: Rakesh Kandpal: Innovator in Optical Character Recognition

Introduction

Rakesh Kandpal is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of optical character recognition (OCR) through his innovative techniques. With a total of 3 patents, Kandpal's work focuses on enhancing the quality of electronic documents to improve OCR performance.

Latest Patents

Kandpal's latest patents revolve around image quality assessment and improvement for performing optical character recognition. The techniques disclosed involve assessing and enhancing the quality of electronic documents to facilitate effective OCR. For instance, one method includes obtaining a reference image of an electronic document and distorting it by adjusting various parameters associated with its quality. This process generates multiple distorted images, which are then analyzed to detect the adjusted parameters and their corresponding values. The accuracy of detection is determined, and a model is trained based on the distorted images and detection accuracy. This trained model ultimately identifies techniques for adjusting parameters in a second image to prepare it for OCR.

Career Highlights

Kandpal is currently employed at Intuit, Inc., where he continues to develop and refine his innovative techniques. His work has garnered attention for its practical applications in improving OCR technology, which is essential for various industries that rely on document processing.

Collaborations

Some of his notable coworkers include Richard J Becker and Priya Kothari, who contribute to the collaborative environment that fosters innovation at Intuit, Inc.

Conclusion

Rakesh Kandpal's contributions to optical character recognition through his patented techniques demonstrate his commitment to advancing technology in this field. His work not only enhances the quality of electronic documents but also paves the way for more efficient OCR applications.

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