No abstract

Handwritten character is gaining a lot of attention in the area of pattern recognition as its applications in various fields are increasing day by day. HCR system is providing us with a key factor to a paperless environment. Feature Extraction is a key part for a cost effective model for handwritten character recognition. Effective features improve the recognition rate and misclassification. A hybrid model provides better performance in comparison of the individual. Convolution neural networks are viewed to be more efficient to optimize the recognition ability of HCR system.

Image inpainting is a method that restores or repairs a damaged or corrupted piece of the image or video in undetectable form. This method has a broad range of applications, such as removing scratches in previous photographs, removing large objects, text and creative special effects. The major aim of the inpainting is to change the damaged region in an image. In this paper we provide a comparative analysis of different techniques used for image inpainting. In this paper we discuss various inpainting techniques as texture synthesis inpainting, PDE based inpainting, and exemplar based inpainting.

No abstract