Aftab Khan

Title: Aftab Khan: Innovator in Document Processing Technologies

Introduction

Aftab Khan is a notable inventor based in Richardson, Texas, who has made significant contributions to the field of document processing technologies. With a total of six patents to his name, Khan has developed innovative solutions that enhance the categorization and processing of document images, particularly those of varying quality.

Latest Patents

Khan's latest patents include "Automated categorization and processing of document images of varying degrees of quality." This invention features an apparatus that comprises a memory and a processor. The memory stores a dictionary and a machine learning algorithm trained to classify text. The processor receives an image of a page, converts it into a set of text, and identifies a plurality of tokens within that text. Each token consists of one or more contiguous characters that are both preceded and followed by whitespace. The processor identifies invalid tokens by removing those that correspond to words in the dictionary. It then calculates a score based on the ratio of valid tokens to total tokens. If the score exceeds a threshold, the processor applies the machine learning algorithm to classify the text into a category and stores the image or text in a database accordingly.

Another significant patent is "Automated categorization and assembly of low-quality images into electronic documents." This apparatus also includes a memory and processor. The memory stores document categories, text generated from an image of a physical document page, and a machine learning algorithm. The algorithm is designed to extract features related to natural language processing and generate a feature vector that includes multiple features. Based on this feature vector, the algorithm generates a set of probabilities associated with document categories, indicating the likelihood that the physical document belongs to a specific category. The processor applies the machine learning algorithm to the text, identifies the largest probability, and assigns the image to the corresponding document category.

Career Highlights

Aftab Khan is currently employed at Bank of America Corporation, where he continues to innovate in the field of document processing. His work has significantly impacted how organizations manage and categorize documents, making processes more efficient and effective.

Collaborations

Khan collaborates with talented individuals such as Beena Khushalani and Van Nguyen, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Aftab Khan is a distinguished inventor whose work in document processing technologies has led to multiple patents and advancements in the field