Andre Chatzistamatiou

Title: Andre Chatzistamatiou: Inventor in Document Data Extraction and Object Detection

Introduction

Andre Chatzistamatiou is an inventor based in Essen, Germany. His patent work focuses on applying machine learning and automated processing to document analysis. He has 2 patents and works at Accenture Global Solutions Limited.

Latest Patents

**List and Tabular Data Extraction System and Method.** This invention describes a system for identifying documents that contain tables or lists, segmenting their rows and columns, and extracting structured information. Conditional Random Fields models help locate tables, while semantic data understanding maps the extracted information into a desired format.

**Object Detection Using Neural Networks.** This invention describes a method for creating training data to help a neural network detect objects in test documents. The system combines an input image with a pruned portion of an original document to create modified images, then uses the resulting dataset to train an object-detection model.

Career Highlights

Chatzistamatiou’s inventions address practical challenges in document processing, including extracting structured data and detecting objects in documents. His work at Accenture Global Solutions Limited connects these technical approaches with enterprise applications.

Collaborations

His listed coworkers include Florin Cremenescu and Jomarie Rodelas Garcia. Their shared professional context reflects collaboration within a technology-focused organization.

Conclusion

Andre Chatzistamatiou’s patents demonstrate an emphasis on using machine learning to make document analysis more automated, structured, and efficient.