Generalized Hough Transform for Arabic Optical Character Recognition
نویسندگان
چکیده
The Generalized Hough Transform is a technique used to detect arbitrary objects in a given image. This technique is known for its capacity of absorption of distortions as well as noises. In the present paper, we describe an approach showing the efficiency of the use of the Generalized Hough Transform to recognize Arabic printed characters in their different shapes.
منابع مشابه
Generalized Hough Transform for Arabic Printed Optical Character Recognition
The Hough Transform (HT) is a technique commonly used in image processing. It is known for its capacity to detect objects in a given image. In the present paper, we propose to explore the properties of the HT and the use of the Generalized HT (GHT) in Arabic Optical Character Recognition (AOCR). Hence, we first present a GHT based approach for the recognition of Arabic printed characters in the...
متن کاملIsolated Character Recognition by Searching Features in Scene Images
Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such t...
متن کاملIsolated Character Recognition by Searching Feature Points and Voting
To utilize a character information in scene images, character recognition and segmentation are required. Character segmentation is essential preliminary of character recognition. However, most character segmentation methods cannot extract isolated characters which do not constitute a character string, characters in a complex equation, touching characters where two characters are connected and s...
متن کاملHough Transform: Underestimated Tool in the Computer Vision Field
We discuss Hough Transform, some of its key properties, a scheme of fast and complete calculation of the Hough Transform (similar to the Fast Fourier Transform), and an efficient implementation of this scheme on SIMD processors. We also demonstrate an application of the Fast Hough Transform in computer vision by the example of an automatic page orientation detection unit incorporated in an inte...
متن کاملSkew Correction for Chinese Character using Hough Transform
Chinese Handwritten character recognition is an emerging field in Computer Vision and Pattern Recognition. Documents acquired through Scanner, Mobile or Camera devices are often prone to Skew and Correction of skew for such document is a major task and important factor in optical character recognition. The goal of the work is to correct skew for the documents. In this paper we have proposed a n...
متن کامل