Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-Embedding

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IRANPOUR MOBARAKE MAJID; AHMADYFARD ALIREZA

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Journal: MACHINE VISION AND IMAGE PROCESSING Year:2016 | Volume:3 | Issue:1 Page(s): 45-54

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Information Journal Paper

Title

Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-Embedding

Author(s)

IRANPOUR MOBARAKE MAJID | AHMADYFARD ALIREZA | Issue Writer Certificate

Keywords

Word Spotting

Word Image Retrieval

Handwritten word recognition

Attribute

based classification

Label Embedding

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.

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APA: Copy

IRANPOUR MOBARAKE, MAJID, & AHMADYFARD, ALIREZA. (2016). Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-Embedding. MACHINE VISION AND IMAGE PROCESSING, 3(1 ), 45-54. SID. https://sid.ir/paper/265718/en

Vancouver: Copy

IRANPOUR MOBARAKE MAJID, AHMADYFARD ALIREZA. Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-Embedding. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2016;3(1 ):45-54. Available from: https://sid.ir/paper/265718/en

IEEE: Copy

MAJID IRANPOUR MOBARAKE, and ALIREZA AHMADYFARD, “Persian specific Attribute for Handwritten Image Word spotting and recognition by Label-Embedding,” MACHINE VISION AND IMAGE PROCESSING, vol. 3, no. 1 , pp. 45–54, 2016, [Online]. Available: https://sid.ir/paper/265718/en

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