Novel method for manuscript and inscription text extraction

Computer vision involves image processing which has the use of various algorithms for text extraction as an integral part. This paper delves into the use of filtering based thresholding on HSV plane which serves as a common tool for text extraction in manuscripts as well as inscriptions. The basic and simple technique proposed has provided positive results for various images as compared to the other commonly used complex algorithms. The paper also involves a comparison with various other algorithms which is the nick, niblack, Messalodi, Otsu, Gllavata, Kim, Lee, Color Clustering Technique and FastICA helping us understand the advantages that this algorithm presents.