Chennai, India

Sri-Kaushik Pavani



Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Innovations of Sri-Kaushik Pavani in Optical Character Recognition

Introduction

Sri-Kaushik Pavani is an accomplished inventor based in Chennai, India. He has made significant contributions to the field of optical character recognition (OCR) through his innovative patent. His work focuses on enhancing the accuracy and efficiency of word detection in images, which is crucial for various applications in technology and data processing.

Latest Patents

Sri-Kaushik Pavani holds a patent titled "Local scale, rotation and position invariant word detection for optical character recognition." This patent describes a system and method that utilizes a text extraction application to identify words with multiple orientations from an image. The application processes an input image by generating progressively blurred images, detecting blobs, and outputting ellipses over these blobs. It then orients and normalizes the detected words, generates inverted versions, performs OCR on both versions, and produces confidence scores for each. This innovative approach significantly improves the reliability of text extraction from images.

Career Highlights

Sri-Kaushik Pavani is currently employed at Ricoh Company, Ltd., where he continues to develop and refine technologies related to optical character recognition. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

One of his notable coworkers is Ekta Prashnani, with whom he collaborates on various projects within the company. Their combined efforts contribute to advancing the field of OCR and enhancing the capabilities of their technologies.

Conclusion

Sri-Kaushik Pavani's innovative work in optical character recognition exemplifies the impact of technology on improving data processing methods. His contributions are paving the way for more efficient and accurate text extraction solutions.

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