DocumentCode
2504284
Title
Bangla and English City Name Recognition for Indian Postal Automation
Author
Pal, Umapada ; Roy, Ramit Kumar ; Kimura, Fumitaka
Author_Institution
Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Kolkata, India
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
1985
Lastpage
1988
Abstract
Because of multi-lingual behavior destination address block of a postal document of an Indian state may be written in two or more scripts. From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing of these scripts in postal address writings, it is very difficult to identify the script by which a city name is written. To avoid such identification difficulties, in this paper we proposed a lexicon-driven bi-lingual (English and Bangla) city name recognition scheme for Indian postal automation. We obtained 93.19% accuracy when tested on 11875 city name samples.
Keywords
document handling; handwriting recognition; natural language processing; postal services; statistical analysis; Bangla language; English language; Indian postal automation; Indian postal document; lexicon driven bilingual city name recognition scheme; multilingual behavior; postal document; statistical analysis; Automation; Cavity resonators; Cities and towns; Dynamic programming; Feature extraction; Handwriting recognition; Image segmentation; Bangla script; City name recognition; Handwriting recognition; Indian postal automation; Multi-script document recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.489
Filename
5597265
Link To Document