Company Filing History:
Years Active: 2008-2009
Title: Innovations of Anders Holtsberg
Introduction
Anders Holtsberg is a notable inventor based in Lund, Sweden. He has made significant contributions to the field of handwritten pattern recognition. With a total of two patents to his name, Holtsberg's work focuses on improving the accuracy and efficiency of recognizing handwritten characters.
Latest Patents
Holtsberg's latest patents include a method for segmentation-based recognition of handwritten patterns. This method involves selecting core points from a sequence of detected points in the handwritten pattern. The core points are crucial for segmenting and recognizing the pattern. The process includes determining features of each core point and comparing the handwritten pattern to templates. The comparison is done by stepwise analyzing the core points in sequence, matching features, and calculating cumulative distance values to achieve accurate recognition results.
Another significant patent is a method, device, and computer program for recognizing handwritten characters. This method determines a variety of position features that define the handwritten character. It compares these features to reference characters stored in a database to find the closest match. The comparison involves computing differences between position features and determining distance measures, ultimately leading to a cost function that aids in accurate recognition.
Career Highlights
Anders Holtsberg is currently employed at Zi Decuma AB, where he continues to innovate in the field of handwriting recognition technology. His work has been instrumental in advancing methods that enhance the understanding and processing of handwritten inputs.
Collaborations
Holtsberg collaborates with Jakob Sternby, contributing to the development of innovative solutions in their field. Their partnership exemplifies the importance of teamwork in driving technological advancements.
Conclusion
Anders Holtsberg's contributions to handwritten pattern recognition through his patents and work at Zi Decuma AB highlight his role as a significant inventor in this domain. His innovative methods are paving the way for more effective recognition technologies.