Thomas P Minka

Title: Thomas P Minka: Innovator in Document Image Decoding

Introduction

Thomas P Minka is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of text recognition systems, particularly in improving the computational efficiency of document image decoding. With a total of 2 patents, Minka's work has advanced the methodologies used in text line decoding.

Latest Patents

Minka's latest patents include "Document image decoding using text line column-based heuristic scoring" and "Dynamic programming operation with skip mode for text line image decoding." The first patent focuses on enhancing the efficiency of text line decoding by replacing complex two-dimensional computations with simpler one-dimensional heuristic scores. This innovation allows for a more efficient matching process between character templates and observed images. The second patent introduces a method that utilizes the characteristics of a graph to improve the decoding operation by incorporating a skip mode, which reduces the need for expensive cumulative path score computations.

Career Highlights

Throughout his career, Thomas P Minka has worked with prominent companies, including Xerox Corporation. His experience in these organizations has contributed to his expertise in the field of document image processing and text recognition.

Collaborations

Minka has collaborated with notable individuals such as Dan S Bloomberg and Ashok Chhabedia Popat. These collaborations have likely enriched his work and contributed to the advancements in his patents.

Conclusion

Thomas P Minka's innovative contributions to document image decoding have significantly impacted the field of text recognition. His patents reflect a commitment to enhancing computational efficiency and accuracy in text line decoding.