Improved Handwritten Text Feature Extraction using HOG and SVM Feature

IJCSEC Front Page

Handwritten Text Extraction (HTE) is an emerging technology in image processing. HTE is the wonders of empowering a machine to automatically realize the characters written in a user dialect. Optical character extraction has turned out to be a standout amongst the best candidates of innovation in the field of pattern recognition and artificial intelligence. In this paper we propose a methodology for extracting and recognizing characters or text using Histogram of Gradient (HOG) feature extraction and Support Vector Machines (SVM) as classifier. To evaluate the accuracy of our proposed method we use the ground truth data.

Keywords: Handwritten Text Extraction, Histogram of Gradient, Support Vector Machines.


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