With the increase of the Artificial Neural Network (ANN), machine learning has taken a forceful twist in recent times. One of the most spectacular kinds of ANN design is the Convolutional Neural Network (CNN). The Convolutional Neural Network (CNN) is a technology that mixes artificial neural networks and up to date deep learning strategies. In deep learning, Convolutional Neural Network is at the center of spectacular advances. This artificial neural network has been applied to several image recognition tasks for decades and attracted the eye of the researchers of the many countries in recent years as the CNN has shown promising performances in several computer vision and machine learning tasks. This paper describes the underlying architecture and various applications of Convolutional Neural Network.

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This paper compares eight proposed methods using steganography of Arabic language texts for different search algorithms to consider a secret key. All methods use random numbers to generate the secret key. The objectives are to evaluate each method and to select the best method that provides the best solution suitable to hide the Arabic language texts. Secret sharing is the fourth-best method in security, linear regression is the best method for transparency and capacity of secret message hiding, whereas singular value decomposition is the best method in terms of security and robustness, Huffman code provides secret message compression security and transparency, and steganography in Microsoft Word documents uses the protocol in layer one of single-double quote, which is weak in security. Conversely, the random subtraction of two images method is the best algorithm in terms of security, robustness, and capacity, while Kashida and Single-double quote are the best methods for security, transparency, and robustness, steganography of twice secret messages in layer one is the best method for security and robustness. Of all the aforementioned security methods, secret sharing is the best overall security method.

يتم استخدام انظمة المقاييس الحيوية للتحقق من الشخص بناءً على الخصائص الخاصة للشخص والتي استخدمتها في تطبيقات واسعة مثل الاتصالات الآمنة والتجارة حيث تتطلب مصادقة هوية الشخص. يستخدم نظام التعرف على الاشخاص بأستخدام قزحية العين على نطاق واسع لاستقراره وتفرده مقارنة بأنظمة المقاييس الحيوية الأخرى. يتكون نظام  التعرف القائم على القزحية من مراحل هي توطين القزحية وتطبيعها واستخراج المميزات والمطابقة. تأثير استخراج المميزات كبير على دقة وموثوقية نظام القياسات الحيوية. في هذا العمل ، تم إجراء مسح لبعض أحدث الأعمال البحثية ومقارنتها من حيث الدقة في تميز الافراد.

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