Slant correction for bookshelf image using dynamic programming

For building book database or managing book arrangement automatically, systems to extract book information, such as title, from bookshelf images have been studied. In such systems, slant of each book in bookshelf images may degrade the extraction accuracy. In this paper, a slant correction technique for bookshelf images is proposed where the slant correction problem is formulated as an optimal estimation problem of local slant angles at all horizontal positions. The optimal estimation is provided by a dynamic programming-based algorithm. In the present technique, color features are utilized for improving the slant estimation accuracy. The effectiveness of the present technique was shown by experiments.