Dhahran, Saudi Arabia

Wasfi G Al-Khatib

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: King Fahd University of Petroleum and Minerals. Active years: 2015-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wasfi G Al-Khatib. Retrieved from https://idiyas.com/inventor/wasfi-g-al-khatib

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2015-2019

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

Title: Wasfi G Al-Khatib: Innovator in Arabic Language Technologies

Introduction

Wasfi G Al-Khatib is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of Arabic language technologies, particularly in the areas of spell checking and manuscript retrieval. With a total of 2 patents, Al-Khatib's work is instrumental in enhancing the accuracy and accessibility of Arabic text processing.

Latest Patents

Al-Khatib's latest patents include an innovative Arabic spell checking error model. This model is data-driven and focuses on error patterns found at the morphemes level. It generates a model through an error-correct patterns generator, which is stored in an error-correct patterns database (ECPD). The ECPD works alongside a correction candidates' generator (CCG) to provide a list of correction candidates for any given error word. This error model is capable of learning various types and forms of language patterns from an annotated corpus, allowing it to analyze errors and suggest corrections for a wide range of Arabic spelling mistakes.

Another significant patent is a method for the retrieval of Arabic historical manuscripts. This method employs Latent Semantic Indexing (LSI) to address the challenges of indexing and retrieving Arabic historical manuscripts. It automates the indexing process through word spotting, utilizing 'Text Image' similarity of keywords. The method includes several steps: manuscript page preprocessing, segmentation, and feature extraction, which uses a circular polar grid feature set. After extracting salient features, the indexing of historical Arabic manuscripts is performed using LSI to support content-based image retrieval (CBIR).

Career Highlights

Al-Khatib is affiliated with King Fahd University of Petroleum and Minerals, where he contributes to research and development in language technologies. His work not only advances academic knowledge but also has practical applications in various industries.

Collaborations

Some of Al-Khatib's notable coworkers include Tamim Alnethary and Mohammad Husni Najib Yahia. Their collaborative efforts enhance the research output and innovation in their respective fields.

Conclusion

Wasfi G Al-Khatib is a prominent figure in the realm of Arabic language technologies, with patents that significantly improve spell checking and manuscript retrieval. His contributions are vital for the advancement of Arabic text processing and historical manuscript accessibility.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…