This paper presents a complete Optical Character Recognition (OCR) system for camera
captured image/graphics embedded textual documents for handheld devices. At first, text …

Optical Character Recognition (OCR) is a system that provides a full alphanumeric
recognition of printed or handwritten characters by simply scanning the text image. OCR …

Due to huge deformation in the camera captured images, variety in nature of the business
cards and the computational constraints of the mobile devices, design of an efficient …

Performance of an optical character recognition engine may be affected if the images are
skewed and distorted due to perspective projection. In this paper, a computationally efficient …

Existing texts play an important role in understanding a scene image. Scene images differ
from document images, which are composed of text characters of various size, shape …

Some embodiments of a method for selecting an image encoder comprise generating a
grayscale histogram of an image, wherein the grayscale histogram includes a respective …

Mind maps, ie the spatial organization of ideas and concepts around a central topic and the
visualization of their relations, represent a very powerful and thus popular means to support …

This article presents somewhat detail discussions on document image skew detection
methods available in the existing literature. We first categorise the document images into …

Separation of the text regions from background texture and graphics is an important step of
any optical character recognition system for the images containing both texts and graphics …

A novel character recognition system aimed at embedding into handheld devices is
presented. At first, text regions (TRs) are isolated from the camera captured image by …