Title :
Character segmentation techniques for handwritten text-a survey
Author :
Dunn, Christopher E. ; Wang, P.S.P.
Author_Institution :
Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
The paper is a survey of techniques for segmenting images of handwritten text into individual characters. The topic is broken into two categories: segmentation and segmentation-recognition techniques. Several approaches to each are outlined, and each is analyzed for its relevance to printed, cursive, on-line and off-line input data
Keywords :
character recognition; image segmentation; character recognition; character segmentation; cursive data; handwritten text; image segmentation; off-line input data; online input data; printed data; segmentation-recognition techniques; Character recognition; Computer science; Data preprocessing; Educational institutions; Image segmentation; Interference; Joining processes; Pixel; Tail; Writing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201844
