DocumentCode
1889866
Title
Handwritten character recognition using multi-resolution histograms of oriented gradients
Author
Qinyunlong ; Sunguangling
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
fYear
2008
fDate
10-12 Nov. 2008
Firstpage
715
Lastpage
717
Abstract
In this paper, a novel handwritten character recognition scheme by using multi-resolution histograms of oriented gradients (MHOG) is proposed. Histograms of oriented gradients of multi-resolutions are fused with canonical correlation analysis (CCA). The scheme is evaluated on three handwritten character databases and the result has demonstrated the effectiveness of the presented scheme.
Keywords
correlation methods; gradient methods; image recognition; image resolution; canonical correlation analysis; handwritten character recognition; multiresolution histograms; oriented gradients; Character recognition; Data mining; Databases; Feature extraction; Fuses; Fusion power generation; Histograms; Image resolution; Multiresolution analysis; Sun; canonical correlation analysis; handwritten character recognition; multi-resolution histograms of oriented gradients;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2250-0
Electronic_ISBN
978-1-4244-2251-7
Type
conf
DOI
10.1109/ICCT.2008.4716216
Filename
4716216
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