One aspect of copy image quality is the sharpness and color of copied text. Printing monochrome or black text as a color object will cause the text to appear too light, blurred, or having objectionable color hues. In this paper, we present a method to improve the appearance of black and monochrome text when copied on a color multi function printer (MFP), by detecting the presence of monochrome text characters in documents containing monochrome and color content. Initially, the scanned image is segmented into text, image, and background classes. This step is based on the analysis of edge, texture, and geometrical pixel-level features extracted at different scales. Once detected, text regions are analyzed for their chromatic content in order to discern whether the text is colored or merely a color scan of black text. Based on this classification, pixels belonging to black text are sharpened appropriately and printed using only black toner rather than a mixture of cyan, magenta, yellow, and black