DocumentCode :
2191834
Title :
Recognising letters in on-line handwriting using hierarchical fuzzy inference
Author :
Hennig, A. ; Sherkat, N. ; Whitrow, R.J.
Author_Institution :
Dept. of Comput., Nottingham Univ., UK
Volume :
2
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
936
Abstract :
The recognition of unconstrained handwriting has to cope with the ambiguity and variability of cursive script. Preprocessing techniques are often applied to on-line data before representing the script as basic primitives, resulting in the propagation of errors introduced during pre-processing. This paper therefore combines pre-processing of the data (i.e. tangential smoothing) and encoding into primitives (Partial Strokes) in a single step. Finding the correct character at the correct place (i.e. letter spotting) is the main problem in non-holistic recognition approaches. Many cursive letters are composed of common shapes of varying complexity that can in turn consist of other subshapes. In this paper, we present a production rule system using Hierarchical Fuzzy Inference in order to exploit this hierarchical property of cursive script. Shapes of increasing complexity are found on a page of handwriting until letters are finally spotted. Zoning is then applied to verify their vertical position. The performance of letter spotting is compared with an alternative method
Keywords :
character recognition; fuzzy logic; handwriting recognition; inference mechanisms; complexity; hierarchical fuzzy inference; letter spotting; non-holistic recognition; on-line handwriting; primitives; production rule system; tangential smoothing; unconstrained handwriting; Encoding; Filters; Fuzzy systems; Handwriting recognition; Logic; Noise shaping; Production systems; Shape; Smoothing methods; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.620648
Filename :
620648
Link To Document :
بازگشت