Dhahran, Saudi Arabia

Baligh M Al-Helali


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2018

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations of Baligh M Al-Helali

Introduction

Baligh M Al-Helali is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of character recognition technology. With a total of 3 patents to his name, Al-Helali's work focuses on enhancing the accuracy and efficiency of handwritten stroke recognition.

Latest Patents

Al-Helali's latest patents include innovative methods for character recognition. One of his patents, titled "Writing direction extraction for character recognition," describes a character recognition device that removes duplicate successive points in a handwritten stroke. This device enhances the stroke by spacing points uniformly, detecting primary and secondary strokes, and merging them to generate a primary merged stroke. The device also extracts raw point-based features and statistical features to train and classify data, ultimately determining the handwritten stroke.

Another patent, "Method using statistical features for character recognition," shares similar technology. It also focuses on removing duplicate points, detecting strokes, and generating merged strokes. The device is designed to compute likelihood values for combined sets of primary and secondary stroke candidates, ensuring accurate recognition of handwritten text.

Career Highlights

Baligh M Al-Helali is affiliated with King Fahd University of Petroleum and Minerals, where he contributes to research and development in character recognition technologies. His work has been instrumental in advancing the capabilities of devices that interpret handwritten input.

Collaborations

Al-Helali collaborates with fellow researcher Sabri A Mahmoud, enhancing the scope and impact of their work in the field of character recognition.

Conclusion

Baligh M Al-Helali's contributions to character recognition technology demonstrate his innovative spirit and dedication to improving the accuracy of handwritten text interpretation. His patents reflect a commitment to advancing technology in this important area.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…