Title :
Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten words
Author :
Kimura, F. ; Shridhar, M. ; Chen, Z.
Author_Institution :
Fac. of Eng., Mie Univ., Kamihama Tsu, Japan
Abstract :
Discusses improvements made to a lexicon directed algorithm for recognition of unconstrained handwritten words (cursive, discrete, or mixed) such as those encountered in mail pieces. The procedure consists of binarization, pre-segmentation, intermediate feature extraction, segmentation recognition, and post-processing. The segmentation recognition and the post-processing are repeated for all lexicon words while the binarization to the intermediate feature extraction are applied once for an input word. The result of performance evaluation using large handwritten address block database is described, and algorithm improvements are described and discussed, in order to achieve higher recognition accuracy and speed. As a result the performance for lexicons of size 10, 100, and 1000 are improved to 98.01%, 95.46%, and 91.49% respectively. The processing speed for each lexicon is improved to 2.0, 2.5, and 3.5 sec/word on a SUN SPARC station 2
Keywords :
feature extraction; handwriting recognition; image segmentation; performance evaluation; SUN SPARC station 2; algorithm improvements; binarization; handwritten address block database; intermediate feature extraction; lexicon directed algorithm; mail; performance evaluation; post-processing; pre-segmentation; processing speed; recognition accuracy; segmentation recognition; unconstrained handwritten words; word recognition; Character recognition; Concatenated codes; Feature extraction; Handwriting recognition; Image recognition; Image segmentation; Postal services; Skeleton; Spatial databases; Sun;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395791
