Title :
Generating paper texture of historical documents using statistical moments
Author :
Mello, C.A.B. ; Lins, R.D.
Author_Institution :
Dept. de Inf., Univ. Fed. de Pernambuco, Recife, Brazil
Abstract :
This paper presents a scheme for generating paper texture of historical documents. A new entropy based segmentation algorithm is used to decompose the image of documents into the image of the paper background and the printing of the document. Statistical analysis allows filling in the gaps from the printing, yielding a blank sheet of paper with similar texture to the original document
Keywords :
document image processing; entropy; image colour analysis; image segmentation; image texture; statistical analysis; document printing; entropy based segmentation algorithm; historical documents; image decomposition; paper background; paper texture generation; statistical analysis; statistical moments; true color texture generation; Entropy; Filling; Frequency; Histograms; Image coding; Image segmentation; Ink; Pixel; Printing; Statistical analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859307
