Alexander V Sharov

Title: Alexander V Sharov: Innovator in Document Classification and Identification

Introduction

Alexander V Sharov is a notable inventor based in Moscow, Russia. He has made significant contributions to the fields of document classification and image identification. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of document processing systems.

Latest Patents

Sharov's latest patents include a "System and method of training a classifier for determining the category of a document." This patent outlines methods and systems for training a classifier to categorize documents effectively. The process involves obtaining training samples, determining objects within the documents, and constructing a classifier based on a set of features. The classifier is then trained and evaluated for accuracy, ensuring its effectiveness in categorizing additional documents.

Another significant patent is the "System and method of identifying an image containing an identification document." This invention describes a method for identifying images that contain personal identifying documents. The process includes selecting images from a stream, determining which images contain documents, and generating sets of images based on the presence of structural elements typical of identification documents.

Career Highlights

Alexander V Sharov is currently employed at Kaspersky Lab, a leading cybersecurity and anti-virus provider. His work at the company involves developing innovative solutions that enhance document processing and identification systems. His expertise in these areas has contributed to the advancement of technology in document management.

Collaborations

Sharov has collaborated with notable colleagues, including Dmitry S Dorogoy and Ilya A Tereshchenko. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Alexander V Sharov is a prominent inventor whose work in document classification and image identification has made a significant impact in the field. His patents reflect a commitment to improving technology and enhancing the efficiency of document processing systems.