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» Multi-experts for Touching Digit String Recognition
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ICDAR
1999
IEEE
13 years 9 months ago
Multi-experts for Touching Digit String Recognition
84.6% of touching digit strings have only two digits touching, 12.3% have three digits touching, and 3.1% have more than three digits touching. We present a multiexperts approach ...
Xian Wang, Venu Govindaraju, Sargur N. Srihari
ICDAR
2009
IEEE
14 years 4 days ago
Indian Multi-Script Full Pin-code String Recognition for Postal Automation
Under three-language formula, the destination address block of postal document of an Indian state is generally written in three languages: English, Hindi and the State official la...
Umapada Pal, Rami Kumar Roy, Kaushik Roy, Fumitaka...
ICPR
2002
IEEE
14 years 6 months ago
A String Length Predictor to Control the Level Building of HMMs for Handwritten Numeral Recognition
In this paper a two-stage HMM-based method for recognizing handwritten numeral strings is extended to work with handwritten numeral strings of unknown length. We have proposed a B...
Alceu de Souza Britto Jr., Ching Y. Suen, Fl&aacut...
ICPR
2004
IEEE
14 years 6 months ago
A Two-Stage Approach for Segmentation and Recognition of Handwritten Digit Strings Collected from Mail Pieces
In this paper, we present an approach to interpret handwritten digit strings by employing a two-stage segmentation and recognition scheme. The first stage processing is to deal wi...
Gyeonghwan Kim, Seon-Hwa Jeong, Sungwon Park, Yunh...
CIMCA
2006
IEEE
13 years 11 months ago
A Junction Based Segmentation Algorithm for Offline Handwritten Connected Character Segmentation
A junction based approach for Segmenting and recognizing offline handwritten connected twodigit strings is presented in this paper. Very often even in a printed text, adjacent cha...
U. K. S. Jayarathna, G. E. M. D. C. Bandara