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
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;
Conference_Titel :
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
0-7695-3059-1
DOI :
10.1109/ADCOM.2007.51