Offline text document authorization on the basis SIFT and SURF

Author(s):

SREERAG S , thejus engineering college; Shibi Thambi, Thejus engineering college; Vidya R Menon, Thejus engineering college

Keywords:

Document authorization, SIFT, SURF, SVM, Word segmentation

Abstract:

This paper proposes a novel of text document authorization based on SIFT and SURF. It mainly consists of two stages enrollment and identification. In all stages SIFT (scale invariant feature transform) descriptors are extracted the scale and orientation (SOs) of the each sentences. At the same time SURF (speed up robust feature) will extract the scale and orientation (SOs) of the same word. These feature values are stored in the code book. In the identification stage SOs of input handwriting text documents are extracted and classify the document on the basis of lib SVM classifier. Experimental result consist of different English data sets (Iam, Firemaker etc).And by measuring the classification accuracy a comparative study is done on SIFT and SURF algorithms.

Other Details:

Manuscript Id	:	IJSTEV1I10132
Published in	:	Volume : 1, Issue : 10
Publication Date	:	01/05/2015
Page(s)	:	328-331

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