Non-uniform Slant Correction using Generalized Projections
نویسندگان
چکیده
Slant Correction is an important component of an Optical Character Recognition (OCR) system. The stronger the slant correction algorithm, the better the OCR system’s performance. In this work, a non-uniform slant estimation algorithm is presented. The algorithm uses the generalized projections of the word image. The algorithm is simple and robust. To evaluate the efficacy of the algorithm, images from IAM database were classified using a Support Vector Machine-based recognition engine. The performance of the proposed technique has been compared to other contemporary techniques. The results show attest the efficacy of the proposed technique.
منابع مشابه
Attenuation Correction in SPECT during Image Reconstruction using an Inverse Monte Carlo Method: A Simulation Study
Introduction: The main goal of SPECT imaging is to determine activity distribution inside the organs of the body. However, due to photon attenuation, it is almost impossible to do a quantitative study. In this paper, we suggest a mathematical relationship between activity distribution and its corresponding projections using a transfer matrix. Monte Carlo simulation was used to find a precise tr...
متن کاملUsing Local Slant Correction to Normalize Handwritten Text Samples
In this paper we propose to use variable slant correction instead of an global correction, since the slant of handwritten text is not constant over a line of text. We present an algorithm that computes local slant, based on generalized projection and dynamic programming, and introduce a technique called slant map propagation. We apply it on a case study and report the results: local slant corre...
متن کاملNonuniform Slant Correction Using Dynamic Programming
Slant correction is an indispensable technique for handwritten word recognition systems. Conventional slant correction techniques estimate the average slant angle of component characters and then correct the slant uniformly. Thus these conventional techniques will perform successfully under the assumption that each word is written with a constant slant. However, it is more widely acceptable ass...
متن کاملNonuniform Slant Correction for Handwritten Word Recognition
Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction proble...
متن کاملMisperception of aspect ratio in binocularly viewed surfaces
The horizontal-vertical illusion, in which the vertical dimension is overestimated relative to the horizontal direction, has been explained in terms of the statistical relationship between the lengths of lines in the world, and the lengths of their projections onto the retina (Howe & Purves, 2002). The current study shows that this illusion affects the apparent aspect ratio of shapes, and inves...
متن کامل