An effective approach to offline Arabic handwriting recognition

نویسندگان

  • Jafaar Al Abodi
  • Xue Li
چکیده

Segmentation is the most challenging part of the Arabic handwriting recognition, due to the unique characteristics of Arabic writing that allows the same shape to denote different characters. In this paper, an off-line Arabic handwriting recognition system is proposed. The processing details are presented in three main stages. Firstly, the image is skeletonized to one pixel thin. Secondly, transfer each diagonally connected foreground pixel to the closest horizontal or vertical line. Finally, these orthogonal lines are coded as vectors of unique integer numbers; each vector represents one letter of the word. In order to evaluate the proposed techniques, the system has been tested on the IFN/ENIT database, and the experimental results show that our method is superior to those methods currently available.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

متن کامل

An Approach Based on Structural Segmentation for the Recognition of Arabic Handwriting

Abstract In this paper we propose a new segmentation approach applied to Arabic handwriting, which can reconstruct in offline a tracing path similar to that in the case of online. Our approach uses a semiskeletonization technique for following lines and calculation of the characteristics of characters. With the application of an SVM classifier in the classification phase, we were able to achiev...

متن کامل

Online Arabic Handwriting Recognition Based on Classifier Combination

Handwriting recognition is a rich and complex issue. Some of its problems include the large shape variations in human handwriting. Classifier combination contributes in increasing the classification accuracy compared to the performance of individual classifier. In this paper, we present an online handwriting recognizer based on classifier combination according to holistic approach. We propose t...

متن کامل

Combining different classification approaches to improve off-line Arabic handwritten word recognition

Machine perception and recognition of handwritten text in any language is a difficult problem. Even for Latin script most solutions are restricted to specific domains like bank checks courtesy amount recognition. Arabic script presents additional challenges for handwriting recognition systems due to its highly connected nature, numerous forms of each letter, and other factors. In this paper we ...

متن کامل

Efficient Approach to Segment Ligatures and Open Characters in Offline Arabic text

This paper researches offline Arabic handwriting recognition. It introduces a new approach to segmentation ligature and open Arabic character based on the structural perspective dealing with sub-words/words, including dots to recognize individual letters. Segmentation approaches that have been integrated into the recognition phase have the capability to deal with ligatures and closed characters...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computers & Electrical Engineering

دوره 40  شماره 

صفحات  -

تاریخ انتشار 2014