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A Holistic Model for Recognition of Handwritten Arabic Text Based on the Local Binary Pattern Technique

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Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban Pág. pp. 20 - 34

In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In... ver más

Revista: International Journal of Interactive Mobile Technologies (iJIM)

Performance Boosting of Scale and Rotation Invariant Human Activity Recognition (HAR) with LSTM Networks Using Low Dimensional 3D Posture Data in Egocentric Coordinates

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Ibrahim Furkan Ince

Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ... ver más

Revista: Applied Sciences

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