Handwriting extraction is the skill of a system to get and translate comprehensible hand written input via sources such as document, photos, tough screen and other devices. The picture of the written document is used to detect written text by the use of optical scanning i.e. known as optical character recognition. Handwriting extraction basically uses optical character recognition. Conversely, an absolute hand writing extraction process that handles format and perform correct segmentation into typescript and searches for the most reasonable terms. Handwriting extraction is a process of automatic typesetting of text from a picture to letter sets that are exploitable by a system or a computer by the use of text- processing software. The information received via this method form is treated as static illustration of hand writing. Off line handwriting recognition is relatively complex due to the reason that different persons have differences in the handwriting styles.
[1]
Linda G. Shapiro,et al.
Computer Vision
,
2001
.
[2]
Efstathios Stamatatos,et al.
Adaptive Binarization of Historical Document Images
,
2006,
18th International Conference on Pattern Recognition (ICPR'06).
[3]
Bülent Sankur,et al.
Survey over image thresholding techniques and quantitative performance evaluation
,
2004,
J. Electronic Imaging.
[4]
Michael W. Berns,et al.
Digital Image Processing and Analysis
,
1986
.
[5]
Anil K. Jain.
Fundamentals of Digital Image Processing
,
2018,
Control of Color Imaging Systems.
[6]
Azriel Rosenfeld,et al.
Computer Vision
,
1988,
Adv. Comput..
[7]
Rafael C. González,et al.
Digital image processing using MATLAB
,
2006
.