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Register a new userSturdy Hiding of Text File in Image
الإخفاء المتقن لملف نصي في صورة
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سنعرض في هذا البحث طريقة متقنة لإخفاء ملف نصي داخل صورة باستخدام خوارزمية البت الأقل استخداماً و تشفير ذلك النص، مما يسمح بتخزين النصوص باللغة الإنكليزية و العربية و بأحجام مختلفة مما يضمن لنا وصول الملف النصي بالشكل الصحيح و بسرية كبيرة.
This research will show a sturdy method to hide a text file into an image using least significant bit algorithm and encrypting this text, which allows to store English and Arabic texts with various sizes and ensure that the text file is delivered correctly and secretly.
References used
HAMAMI, A H, 2008, "Information Hidings, Steganography and watermark". Ethraa for Publishing and Distribution, Jordan, 550p
STALLINGS, W, 2005, "Cryptography and Network Security Principles and Practices". Prentice Hall, USA, 592p
Pan J, Snasel V, Corchado E, Abraham A, Wang S, "Intelligent Data Analysis and Its Applications", Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, June 13-15, 2014, Shenzhen, China, 298p
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In this paper, a technique for hiding a message into digital images
(256 gray levels) is proposed. Some tests, on the proposed technique, are
done by applying the technique in hiding messages into some images. From
the recorded results, we can not
e that the proposed watermarking technique
introduces, in many cases, a reasonable way that can be used to hide secret
messages in the digital images.
بناء نظام ذكي يقوم بالتعرف على الأصناف الموجودة في صورة وتوليد توصيف نصي لهذه الأغراض الموجودة في الصورة.
استخدمنا الشبكات العصبونية الملتفة Convolutional Neural Networks للقيام بعملية استخلاص الأصناف الموجودة في الصورة، وأدخلنا هذه الأصناف إلى شبكة
عصبونية تكرارية Recurrent Neural Network للقيام بعملية توليد التوصيف النصي.
This research is composed of two parts: The first is theoretical and separates the
saying from the subjectification idiom with its considerable presence in criticism
surrounding the immigration space. It also explains the marks and impressions whic
h make
difference between it and the factual and artistic space. The second one is applicable. It
takes to pieces the image of Cairo Al Muiz in the journey of Al Abdari, considered as
subjectified image and also observes its subjectification move and the effective elements in
it. Its most significant result is that the immigration space has its own distinguished
character as a subjectified space that lies in moderate position between the factual and
artistic space, and expresses the age of journey, its culture, situations, emotions and also
effect of space and period in it. Cairo in Al Abdari text which has lost both its historical
sacred distance and has changed into a dismissing frightening space that it explained Al
Abdari age, its believing ideal and national enthusiasm, its desolation and estrangement of
the civilian form and its intimate tie to the space of the ego=mother space=his village
Haha.
This paper attempts at focusing on analyzing the poetic structure of a pre-and-post-
Islamic poet who witnessed and lived in the early Islamic and Umayyad Eras. With regard
to the objective, the paper is intended to shed light on the major features
and master pieces
of literary output, be its prose or verse, which is the human ego, the driving force and
dynamo behind any human creativity.
In this regard, the paper attempts at categorizing the major subjective characteristics
of a famous poet, such as Al-Farazdaq, who represented a unique phenomenon on the
creative, literary, and poetic scene, through the poetic satirical exchanges with Jareer, the
Umayyad poet laureate.
All this is being dealt with through trying to trace the major characteristics of this
ego and the impact it had left on the Arab poetic output.
In this paper an evaluation of image keypoints detectors and descriptors is presented
when used for building panoramic image. The descriptors: (SIFT, SURF, BRIEF, ORB,
BRISK, and FREAK) were discussed, when used with the appropriate keypoints detec
tors
on database taken indoors by RGB-D camera. Crosscheck and RANSAC (RANdom
Sample Consensus) algorithms were used to find transform matrix between images. The
speed of keypoints detectors and descriptors, the matching speed, the average of extracted
keypoints, recall and precision were investigated. Oxford dataset was used to find the best
descriptor for dealing with rotation and illumination changes that might occur due to
changes in illumination angle.
The obtained results showed that SIFT was the keypoint descriptor with the highest
performance in non-real time applications. The SURF/BRISK was the best
detector/descriptor which can be used in real time applications with comparable SIFT's
results.
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