Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
نویسندگان
چکیده
منابع مشابه
Segmenting Arabic Handwritten Documents into Text lines and Words
In this paper, we present a method for segmenting Arabic handwritten documents into text lines and words. Text line segmentation is addressed by a well-known technique, the horizontal projection profile, in which autocorrelation is used to enhance the self similarity of this profile. This technique promotes the estimation of text line spacing. Word extraction is based on an adaptation of a know...
متن کاملSegmentation of Handwritten Gurmukhi Text into Lines
Text line segmentation is an essential pre-processing stage for handwriting recognition in many Optical Character Recognition (OCR) systems. It is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of hand...
متن کاملSegmentation of Handwritten and Printed Arabic Documents
on this paper, we proposed a new text line segmentation of handwritten and typewriting Arabic document images that uses the Outer Isothetic Cover (OIC) algorithm of a digital object. In the first step, we use this method to segment the composed document into text blocs. In the second step, for each text bloc we will extract the text lines. Finally, line text will be segmented into words or into...
متن کاملOn Segmentation Methods for Handwritten Arabic Documents
In the literature, two methods for the extraction zones of the document are more used. The first method is based on the Mathematical Morphology (MM). The second is based on Hough Transform (HT). The main contribution of this paper is the application of these methods to extract the handwritten components of the complex document. The second contribution is the combination between the HT and the M...
متن کاملSegmentation of Handwritten Document Images into Text Lines
There are many governmental, cultural, commercial and educational organizations that manage large number of manuscript textual information. Since the management of information recorded on paper or scanned documents is a hard and time-consuming task, Document Image Analysis (DIA) aims to extract the intended information as a human would (Nagy, 2000). The main subtasks of DIA (Mao et al. 2003) ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Interactive Multimedia and Artificial Intelligence
سال: 2017
ISSN: 1989-1660
DOI: 10.9781/ijimai.2017.08.002