Separation of text from non-text doodles of poet Rabindranath Tagore´s manuscripts

As gaining popularity of internet facilities have given a convenient and faster approach to mine a warehouse of both historical and contemporary handwritten documents; this has led to a continuous research and development in the field of information retrieval algorithm. In such handwritten documents, graphics and images are combined with text and often overlap one another. This paper presents a technique for separating textual data from non-textual information. The technique is based on some already published works. It is implemented in poet Rabindranath Tagore´s manuscript. The approach generates connected components as basic primitive and tries to classify them as text or non-text based on a comparison between the total number of pixels and the number of boundary pixels constituting the component. A window is generated and further separation is done on the basis of the stroke width computed for each window. The paper also contains a brief review on some of the already published works.