DocumentCode :
2711885
Title :
An Efficient Feature Set for Handwritten Digit Recognition
Author :
Joseph, Minnu ; Bhat, N.B. ; Sekaran, K. Chandra
Author_Institution :
Nat. Inst. of Technol. Karnataka Mangalore, Mangalore
fYear :
2007
fDate :
18-21 Dec. 2007
Firstpage :
540
Lastpage :
545
Abstract :
Technology driven high-level synthesis make the present high-level synthesis knowledgeable of the target field programmable gate array. All the functions of high-level synthesis become aware of target technology since parsing. It makes right inference of hardware, by attaching target technology specific attributes to the parse tree. This right inference will guide to generate optimized hardware.
Keywords :
field programmable gate arrays; high level synthesis; trees (mathematics); FPGA; field programmable gate array; parse tree; target technology; technology driven high-level synthesis; Classification tree analysis; Educational institutions; Feature extraction; Handwriting recognition; Image databases; Optical character recognition software; Pixel; Spatial databases; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
0-7695-3059-1
Type :
conf
DOI :
10.1109/ADCOM.2007.51
Filename :
4426025
Link To Document :
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