DocumentCode
3264386
Title
Handwriting enhancement on carbon copied business forms based on HSV color space
Author
Chen, Qing ; Guo, Jiangling
Author_Institution
Dept. of Comput. Sci., Jinan Univ., Zhuhai, China
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
683
Lastpage
687
Abstract
Handwriting on carbon copied business forms, such as bank checks and receipts, is often too light to be recognizable. We propose a new method to automatically enhance the handwriting based on HSV color space. Handwriting is extracted using a series of simple image processing steps, such as color transform, thresholding and morphological operations, and then enhanced by adjusted histogram equalization of saturation. Experimental results showed that the enhanced handwriting is significantly clearer and more intelligible, while at the same time the rest of the business forms left untouched.
Keywords
business forms; feature extraction; handwriting recognition; image colour analysis; image enhancement; image segmentation; HSV color space; bank check; bank receipt; carbon copied business form; color transform; handwriting enhancement; handwriting extraction; histogram equalization; image processing; image thresholding; morphological operation; Business; Carbon; Filling; Histograms; Image color analysis; Noise reduction; Pixel; adjusted image histogram equalization; color space transformation; handwriting enhancement; image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647209
Filename
5647209
Link To Document