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
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