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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...
The characteristics of scene text include the uneven lighting and the variability of character color which make scene text extraction more difficult than document image. In this paper, a novel scene text extraction method is proposed based on the independence between hue and lightness. We categorize text region into three types according to the composed color. Different color information is used to...
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks the results of text based systems by incorporating visual similarity of the resulting images. We observe that, together with many unrelated ones, results of text based systems include a subset of correct images, and this set...
We present a hierarchical method for segmenting text areas in natural images. The method assumes that the text is written with a contrasting color on a more or less uniform background. No assumption is made regarding the language or character set used to write the text. In particular, the text can contain simple graphics or symbols. The key feature of our approach is that we first concentrate on finding...
The use of gradients in text images is nowadays quite frequent. Existing segmentation methods encounter serious problems when it comes to modern text images where gradients might appear in the background or the foreground or both at the same time. This paper presents an approach for lightness gradient areas detection based on the Hough Transform. The issues arising are discussed, and results are presented...
In this paper, we propose a retrieval method using textual information retrieval techniques, such as vector space model, for images. Many image retrieval systems are proposed. However, these systems are mainly based on pattern recognition techniques. Therefore, the features of images are also based on these recognition techniques, such as color histogram, and shape of the object in images. Generally,...
In recent decades, Computer aided retrieval, analysis of text, image data and graphical data technology are developing rapidly. However, the development in the field of 3D model retrieval is still in its infant stage. Thus, the related technologies, such as preprocess, normalization, extracting descriptor, index, and similarity measure still get a long way to explore. In this paper, we review recent...
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