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For the Inventor, By the Inventor

Berlin, Germany

Anoop Raveendra Katti

This inventor holds 8 USPTO granted patents and 5 EPO patents. Top assignee: Sap Se. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anoop Raveendra Katti. Retrieved from https://idiyas.com/inventor/anoop-raveendra-katti

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 8

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 21(Granted Patents)


Company Filing History:

goldMedal8 out of 6,329 
 
Sap Se
 patents

Years Active: 2020-2022

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8 patents (USPTO):Explore Patents
1. 11302108 - Rotation and scaling for optical character recognition using end-to-end deep learning (2022-04-12),
2. 11301627 - Contextualized character recognition system (2022-04-12),
3. 11244208 - Two-dimensional document processing (2022-02-08),
4. 10915788 - Optical character recognition using end-to-end deep learning (2021-02-09),
5. 10915786 - Object detection and candidate filtering system (2021-02-09),
6. 10846553 - Recognizing typewritten and handwritten characters using end-to-end deep learning (2020-11-24),
7. 10783377 - Visually similar scene retrieval using coordinate data (2020-09-22),
8. 10540579 - Two-dimensional document processing (2020-01-21),

Title: Anoop Raveendra Katti: Innovator in Character Recognition Technology

Introduction

Anoop Raveendra Katti is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of character recognition technology, holding a total of 8 patents. His innovative work focuses on enhancing the accuracy and efficiency of optical character recognition systems.

Latest Patents

Among his latest patents is a contextualized character recognition system. This system operates by determining a plurality of predicted words from an image. It identifies an accuracy measure for each predicted word and selects a candidate word with the highest probability based on contextual analysis. This process ensures that the output is refined and accurate.

Another notable patent is related to rotation and scaling for optical character recognition using end-to-end deep learning. This invention involves training a neural network to identify the expected rotation and scale of a document image. The neural network modifies the document image to standardize it for optimal performance by OCR services.

Career Highlights

Anoop Raveendra Katti is currently employed at SAP SE, where he continues to develop innovative solutions in the realm of character recognition. His work has been instrumental in advancing the capabilities of OCR technology, making it more reliable and efficient for various applications.

Collaborations

He collaborates with talented individuals such as Johannes Hoehne and Christian Reisswig, contributing to a dynamic and innovative work environment.

Conclusion

Anoop Raveendra Katti's contributions to character recognition technology exemplify his commitment to innovation. His patents reflect a deep understanding of machine learning and its applications in improving OCR systems. His work continues to influence the field and pave the way for future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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