Method and apparatus for Arabic and Farsi font recognition

摘要

A method for Arabic and Farsi font recognition for determining the font of text using a nearest neighbor classifier, where the classifier uses a combination of features including: box counting dimension, center of gravity, the number of vertical and horizontal extrema, the number of black and white components, the smallest black component, the Log baseline position, concave curvature features, convex curvature features, direction and direction length features, Log-Gabor features, and segmented Log-Gabor features. The method is tested using various combination of features on various text fonts, sizes, and styles. It is observed the segmented Log-Gabor features produce a 99.85% font recognition rate, and the combination of all non-Log-Gabor features produces a 97.96% font recognition rate.