In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used some statistical features like zonal density, projection histograms …

In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used Gabor Filter based method for feature extraction. Our database …

Convolutional Neural Networks (CNN) have achieved huge popularity in solving problems
in image analysis and in text recognition. In this work, we assess the effectiveness of CNN …

In this paper, Radial Basis Function (RBF) neural Network has been implemented on eight
directional values of gradient features for handwritten Hindi character recognition. The …

Text recognition from natural scene images is very tough task now these days compare than
videos. Application of image processing called pattern recognition make easy to recognize …

We present in this paper a system of English handwriting recognition based on 40-point
feature extraction of the character. Basically an off-line handwritten alphabetical character …

Handwritten character recognition in a particular language is one of the favourite topics for
research from two last decades. Image processing and pattern recognition plays a lead role …

Pada era global ini menguasai bahasa selain bahasa Indonesia merupakan salah satu
kebutuhan penting yang harus dimiliki setiap orang. Banyak orang berkunjung ke negara …

In this paper an effort has been made to recognize handwritten English character using
Neural Network. A new feature extraction technique, named Mask Vector Input (MVI), has …

In multilingual countries like India, majority of the documents may contain text information in
more than one script/language forms. For automatic processing of such documents through …