Noida, India

Ankit Bal


Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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7 patents (USPTO):

Title: Ankit Bal: Innovator in Document Processing and Optical Character Recognition

Introduction

Ankit Bal is a prominent inventor based in Noida, India, known for his contributions to document processing and optical character recognition technologies. With a total of seven patents to his name, he has made significant strides in enhancing the way documents are analyzed and processed.

Latest Patents

Ankit Bal's latest patents include innovative techniques for document decomposition based on determined logical visual layering of document content. These techniques involve iteratively identifying multiple logical visual layers of a document, associating each layer with specific document content objects. The document is then displayed with indications of these annotated document objects, improving user interaction and comprehension.

Another notable patent focuses on utilizing machine-learning-based object detection to enhance optical character recognition. This patent outlines systems and methods for accurately determining words from reverse text, vertical text, and atypically-sized text. The disclosed systems segment digital images into text and non-text regions, employing a machine learning model to identify and manipulate various text glyphs for improved analysis by optical character recognition models.

Career Highlights

Ankit has worked with renowned companies such as Adobe, Inc., where he has honed his skills and contributed to cutting-edge projects. His experience in these organizations has played a crucial role in shaping his innovative approach to technology.

Collaborations

Ankit has collaborated with talented individuals like Prasenjit Mondal and Anuj Shara, further enriching his work and expanding the scope of his inventions.

Conclusion

Ankit Bal stands out as a visionary inventor whose work in document processing and optical character recognition continues to influence the field. His innovative patents reflect a commitment to enhancing technology for better user experiences.

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