Handwritten Arabic character recognition: which feature extraction method?

Recognition of Arabic handwriting characters is a difficult task due to similar appearance of some different characters. However, the selection of the method for feature extraction remains the most important step for achieving high recognition accuracy. The purpose of this paper is to compare the effectiveness of Discrete Cosine Transform and Discrete Wavelet transform to capture discriminative features of Arabic handwritten characters. A new database containing 5600 characters covering all shapes of Arabic handwriting characters has also developed for the purpose of the analysis. The coefficients of both techniques have been used for classification based on a Artificial Neural Network implementation. The results have been analysed and the finding have demonstrated that a Discrete Cosine Transform based feature extraction yields a superior recognition than its counterpart

Steganographically Encoded Data

Steganography is the art of hiding information in ways that prevent its detection. Though steganography is an ancient craft, the onset of computer technology has given it new life. Computer-based steganographic techniques introduce changes to digital covers to embed information foreign to the native covers. Such information may be communicated in the form of text, binary files, or provide additional information about the cover and its owner such as digital watermarks or fingerprints. This paper explains steganography, provides a brief history and describes how steganography is applied in hiding information in images.Steganography, information hiding, digital image, digital watermarking

A Novel Text Steganography Technique to Arabic Language Using Reverse Fat5Th5Ta

This paper presents a new technique for information hiding in Arabic language. The technique uses text steganography to hide the information. Considering the existence of Harakat (Fatha, Kasra and Damma) in the languages a new approach of reversing the Fatha has been developed for message hiding. The technique has been also evaluated to ensure its quality. This technique can be applied on other languages like Persian, Sindhi and other Regional languages

A novel text steganography technique to Arabic language using reverse fatah

This paper presents a new technique for information hiding in Arabic language. The technique uses text steganography to hi de the information. Considering the existence of Harakat(Fatha, Kasra and Damma) in the languages a new approach of reversing the Fatha has been developed for message hiding.The technique has been also evaluated to ensure its quality. This technique can be applied on other languages like Persian, Sindhi and other Regional language

An embedding traid-bit method to improve the performance of Arabic text steganography

The enormous development in the utilization of the Internet has driven by continuous improvements in the region of security. The enhanced security techniques are applied to save the intellectual property. There are numerous sorts of security mechanisms. Steganography is the art and science of concealing secret information inside a cover media without drawing any suspicion to the eavesdropper so that the secret information can only be detected by its proposed recipient. This is done along with the other steganography methods such as image, audio, video, various text steganography methods that are being presented. The text is ideal for steganography due to its ubiquity. There are many steganography methods used several languages such as English, Chines and Arabic language to embed the hidden message in the cover text. Kashida, shifting point and sharp_edges are Arabic steganography methods with high capacity. However, kashida, shifting point and sharp_edges techniques have lack of capability to embed the hidden message into the cover text. This study proposed new method called Traid-bit method by integrating three several types of methods such us kashida, shifting point and sharp_edges to evaluate the proposed method in improving the performance of embedding process. The study presents the process design of proposed method including the algorithms and the system design. The study found that the evaluation of the proposed method provides good knowledge to steganographer to improve the performance of embedding process when the Arabic text steganography method is developed