Vlaardingen, Netherlands

Jorgen Van Deventer


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 56(Granted Patents)


Location History:

  • Vlaardigen, NL (2015)
  • Vlaardingen, NL (2016)

Company Filing History:


Years Active: 2015-2016

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2 patents (USPTO):Explore Patents

Title: Jorgen Van Deventer: Innovator in Automated Document Recognition

Introduction

Jorgen Van Deventer is a notable inventor based in Vlaardingen, Netherlands. He has made significant contributions to the field of automated document recognition and data extraction. With a total of 2 patents to his name, Van Deventer is recognized for his innovative approaches to improving document processing technologies.

Latest Patents

One of Jorgen Van Deventer's latest patents focuses on automated document recognition, identification, and data extraction. This method involves receiving an image of a document associated with a user and analyzing it using optical character recognition to obtain image data. The image data includes text zones, which are then compared to one or more document templates. The process determines a document template with the highest degree of coincidence with the image. Subsequently, the text zones of the image are associated with those of the document template to identify the type of data in each zone. The data is then structured into a standard format to yield structured data.

Career Highlights

Jorgen Van Deventer is currently employed at Idchecker, Inc., where he continues to develop innovative solutions in document recognition technology. His work has been instrumental in advancing the capabilities of automated systems in processing and managing documents efficiently.

Collaborations

Throughout his career, Van Deventer has collaborated with talented professionals, including Michael Hagen and Istvan Mandak. These collaborations have contributed to the development of cutting-edge technologies in the field.

Conclusion

Jorgen Van Deventer is a prominent figure in the realm of automated document recognition, with a focus on enhancing data extraction methods. His contributions through patents and collaborations reflect his commitment to innovation in this vital area of technology.

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