A new Tsallis entropy-based thresholding algorithm for images of historical documents
C.A.B. Mello · 2007
It is presented in this paper an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them easily accessible thru Internet and achieve high recognition rates by Optical Character Recognition algorithms. Our new algorithm is based on the classical entropy concept and a variation defined by the Tsallis Entropy and it proved to be more efficient than classical thresholding algorithms. The images generated are analyzed using precision, recall, accuracy and specificity.