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 :
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