TY - JOUR KW - Classification KW - Image Recognition KW - HOG KW - Arabic Documents KW - Word Spotting AU - Ghizlane Khaissidi AU - Youssef Elfakir AU - Mostafa Mrabti AU - Mounîm El Yacoubi AU - Driss Chenouni AU - Zakia Lakhliai AB - In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the feature vectors to represent the query and documents image. Then, we compress the descriptors with the product quantization method. Finally, a better representation of the query is obtained by using the Support Vector Machines (SVM). IS - Special Issue on Artificial Intelligence Underpinning M1 - 1 N2 - In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the feature vectors to represent the query and documents image. Then, we compress the descriptors with the product quantization method. Finally, a better representation of the query is obtained by using the Support Vector Machines (SVM). PY - 2016 SP - 6 EP - 10 T2 - International Journal of Interactive Multimedia and Artificial Intelligence TI - Segmentation-free Word Spotting for Handwritten Arabic Documents UR - http://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_1_pdf_95245.pdf VL - 4 SN - 1989-1660 ER -