1
Computer Engineering and IT Dep., Shahrood University of Technology
2
Electrical Engineering and Robotics Dep., Shahrood University of Technology
Abstract
Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-EmbeddingOCR methods cannot handle degraded printed documents and handwritten documents, Word spotting is an alternative way to search for query words. Nowadays, efficient Attribute-based Content Based Image Retrieval (CBIR) are developed for Image documents. In this paper new attributes, based on Persian writing Style are introduced for Persian word spotting. We compared and analyze our methods against the other state of the art methods. In addition, the proposed method can handle both Image and string queries, also it can be employed as a word recognition system. Experiments on two standard datasets, Farsa and Iranshahr, shows reasonable results.
Iranpour Mobarakeh, M., & Ahmadyfard, A. (2016). Persian specific Attribute for Handwritten Image Word Spotting and Recognition by Label-Embedding. Journal of Machine Vision and Image Processing, 3(1), 45-54.
MLA
Majid Iranpour Mobarakeh; Alireza Ahmadyfard. "Persian specific Attribute for Handwritten Image Word Spotting and Recognition by Label-Embedding". Journal of Machine Vision and Image Processing, 3, 1, 2016, 45-54.
HARVARD
Iranpour Mobarakeh, M., Ahmadyfard, A. (2016). 'Persian specific Attribute for Handwritten Image Word Spotting and Recognition by Label-Embedding', Journal of Machine Vision and Image Processing, 3(1), pp. 45-54.
VANCOUVER
Iranpour Mobarakeh, M., Ahmadyfard, A. Persian specific Attribute for Handwritten Image Word Spotting and Recognition by Label-Embedding. Journal of Machine Vision and Image Processing, 2016; 3(1): 45-54.
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