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In this paper a novel blind method for watermarking of Farsi (Persian language) texts based on employing the existing common sloping letters is presented. The proposed method embeds the watermark data in four common sloping letters by readjusting the amount of their slopes. This approach can be categorized under character coding methods. The presented algorithm is so simple to implement and experiments...
We propose a whole architecture for English to Spanish translation of the texts present on JPEG natural scene images taken with a mobile phone camera. We detect the text using the frequency information of the DCT coefficients, binarize it using a clustering-based algorithm, recognize it by the use of an OCR algorithm and translate and phonetically transcribe it from English to Spanish. The result...
Stop word detection is attempted in this work in the context of retrieval of document images in the compressed domain. Algorithms are presented to identify text lines and words and to cluster similar words to count word occurrence frequencies. A list of words with their occurrence frequencies is generated from a corpus of textual images. As stop words in any language show high occurrence frequencies,...
We are concerned by the use of factorial correspondence analysis (FCA) for image retrieval. FCA is designed for analysing contingency tables. In textual data analysis (TDA), FCA analyses a contingency table crossing terms/words and documents. For adapting FCA on images, we first define rdquovisual wordsrdquo computed from scalable invariant feature transform (SIFT) descriptors in images and use them...
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