In this paper, we propose and describe efficient multiclass classification and recognition of
unconstrained handwritten Arabic words using machine learning approaches which include …

Automated methods for the recognition of Arabic script are at an early stage compared to
their counterparts for the recognition of Latin and Chinese scripts. An assessment of the …

Automatic off-line Arabic handwriting recognition still faces a big challenges. Due to the
cursive nature of the Arabic language, most of published works are based on recognition of …

In this paper, an online isolated Arabic handwritten character recognition system is
introduced. The system can be adapted to achieve the demands of hand-held and digital …

Arabic handwriting recognition is fairly complex operation due to the similarities between
different letters under similar writing styles. This paper presents a new approach on offline …

The aim of our work is to present a new method based on structural characteristics and a
fuzzy classifier for off-line recognition of handwritten Arabic characters in all their forms …

Handwritten word recognition is the ability of a computer to receive and interpret intelligible
handwritten input. An important document recognition application is bank cheque …

One of the important applications for document recognition is the bank cheque processing,
which is known as cheque literal amount. A few studies focused on Arabic bank cheque …

Many methods of segmentation using detection of segmentation points or where the location
of segmentation points is expected before the segmentation process, the validity of …

在分析藏文的几何结构的基础上, 提出了一种基于几何形状分析的藏文识别方法.
通过对藏文的辅音和元音符号的几何特征提取, 达到学习的目的, 根据印刷体藏文的组成结构 …