Jay Maniar’s scientific contributions

This paper includes a proposed technique for the feature extraction using radial histogram and classification using Euclidean Distance Classifier for Gujarati handwritten Character. It includes simple preprocessing steps like binarization & normalization. Once these steps are applied on handwritten character image then we find radial histogram of character image in 72 directions at 5 degree interval. It provides us 72 feature vectors by counting number of black pixels in each direction. For classification purpose we used Euclidean distance classifier. Use of this feature extraction and classification technique is quite easy but it gives less accuracy. For this we got 26.86% of accuracy for handwritten character.

This paper includes a proposed technique for the Estimation of Skew present in the image of Gujarati Script Document using the Hough Transform technique. It includes simple pre-processing tasks like the Dilation, Erosion, and Thinning. Once these processes are applied the Final image is gone through Hough Transform and a quietly close angle is achieved. It provides promising results when applied on a wide range of images and also at different Skew Angles. This method provides less complexity in the Optical Character Recognition for the Gujarati Script. We obtain 44 % accuracy in this method.

In this paper, we have proposed approach for skew detection and correction of handwritten and printed Gujarati document using Linear Regression method/technique. Skew detection and correction is important for any recognition system as it directly affects the recognition process of characters/documents. The proposed method work involves linear regression formula for detecting angle of rotation and correcting it for printed and handwritten document/characters. With this approach for skew detection and correction we get up to 59.63% of accuracy for printed and 45.58% of accuracy for handwritten document/characters. This proposed method is simple and fast for detecting angle of rotation as well as it corrects the skewed image fast.