Title :
Integrated probability function on local mean distance for image recognition
Author :
Lou, Zhen ; Jin, Zhong
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
In this paper, the integrated probability function (IPF) on local mean distance for image recognition was proposed to combine features for the best performance. Experiments were performed on CENPAMI handwriting digit database. The IPF on local mean distance was shown to be a good combination method for image recognition.
Keywords :
handwriting recognition; image recognition; probability; visual databases; CENPAMI handwriting digit database; image recognition; integrated probability function; local mean distance; Computer science; Content based retrieval; Feature extraction; Handwriting recognition; Image databases; Image recognition; Image retrieval; Information retrieval; Pattern recognition; Spatial databases;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761217
