Recently, damage identification by nondestructive imaging has been widely used by capturing images for defected elements. This paper presents a digital image-based framework that developed to extract the properties of cracks in concrete beams. Algorithms of digital image processing are used to make computations on digital images of cracked elements to evaluate the presence of cracks in acceptable degree of accuracy. The output enhances graphical properties that can be used to identify cracks along with their structural reasons. As such, a database can be created for different types of cracks by representing them in numerical values. The research introduces a parameter, percent of area of the cracks with respect to total area of elements, which is used to predict the type of cracks in beam elements. The proposed research can be used to enhance decision making in cracked reinforced concrete beams.