Abstract: The invention provides method of embedding a watermark image in a host image. The method includes generating a matrix code symbol, wherein the matrix code symbol includes information associated with the watermark image and the host image. The method further includes embedding the watermark image and the matrix code symbol in the host image at non-overlapping positions in the host image.

Abstract: A method for automatically recognizing Arabic text includes building an Arabic corpus comprising Arabic text files written in different writing styles and ground truths corresponding to each of the Arabic text files, storing writing-style indices in association with the Arabic text files, digitizing a line of Arabic characters to form an array of pixels, dividing the line of the Arabic characters into line images, forming a text feature vector from the line images, training a Hidden Markov Model using the Arabic text files and ground truths in the Arabic corpus in accordance with the writing-style indices, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters.

Abstract: A method for automatically recognizing Arabic text includes building an Arabic corpus comprising Arabic text files written in different writing styles and ground truths corresponding to each of the Arabic text files, storing writing-style indices in association with the Arabic text files, digitizing a line of Arabic characters to form an array of pixels, dividing the line of the Arabic characters into line images, forming a text feature vector from the line images, training a Hidden Markov Model using the Arabic text files and ground truths in the Arabic corpus in accordance with the writing-style indices, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters.

Abstract: The invention provides method of embedding a watermark image in a host image. The method includes generating a matrix code symbol, wherein the matrix code symbol includes information associated with the watermark image and the host image. The method further includes embedding the watermark image and the matrix code symbol in the host image at non-overlapping positions in the host image.

Abstract: The present invention provides method and system for automatically planning and scheduling a remote sensing satellite mission. A swath coverage of a remote sensing satellite at a specified time interval is determined from a ground station. Thereafter, a set of points-of-interest lying within the swath coverage of the remote sensing satellite at the specified time interval is identified. The method further includes associating a goodness factor to each point-of-interest of the set of points-of-interest based on a satellite mission requirement. An artificial intelligence searching algorithm is utilized to select a sub-set of points-of-interest from the set of points-of-interest based on a satellite resource constraint and a corresponding goodness factor associated with each point-of-interest. Finally, the method schedules the remote sensing satellite to capture at least one image for each point-of-interest of the sub-set of points-of-interest.