Bellevue, WA, United States of America

Michael T Black


Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2009-2012

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6 patents (USPTO):

Title: The Innovative Mind of Michael T. Black: Pioneering Handwriting Recognition Technologies

Introduction: Michael T. Black is a distinguished inventor based in Bellevue, WA, with an impressive portfolio of six patents to his name. His contributions primarily focus on advancing handwriting recognition technologies, enhancing the way machines interpret handwritten text and improving user experience.

Latest Patents: Among his latest patents, Michael has developed crucial systems that significantly enhance handwriting recognition operations. One notable patent involves a "Combiner for Improving Handwriting Recognition," which integrates various technologies to optimize recognition processes. The innovation receives handwritten input during a training mode and processes it through multiple base recognizers, generating alternate lists. These lists are combined to create a unified alternate list that significantly boosts the accuracy of handwriting recognition.

Another key patent involves "Cursive Handwriting Recognition with Hierarchical Prototype Search." This invention focuses on improving the recognition of cursive handwriting. It employs a hierarchical prototype search that utilizes both print and cursive samples, effectively merging them to enhance recognition capability. The results of these searches are compiled into a final combined alternate list that aids in making precise recognition decisions regarding user input.

Career Highlights: Michael T. Black is affiliated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of handwriting recognition technology. His work not only reflects his innovative spirit but also emphasizes the importance of accuracy and efficiency in digital communication technologies.

Collaborations: Throughout his career, Michael has collaborated with talented individuals such as Qi Zhang and Ahmad A. Abdulkader. Their collective efforts have contributed to the advancement of handwriting recognition systems, highlighting the importance of teamwork in driving innovation forward.

Conclusion: Michael T. Black stands out as a prominent inventor in the field of handwriting recognition, with a strong focus on innovation and practical applications. His patents illustrate his commitment to enhancing technology through sophisticated methodologies. As he continues to develop and refine these systems, Michael remains a pivotal figure in the ongoing evolution of human-computer interaction.

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