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Introduction:-

As more and more information is relayed over and stored on the internet, it becomes increasingly important to scrutinize and determine the identity of those who access that information. In the modern world, the importance of information security has attained an all time high. Authentication refers to the act of verifying the identity of an entity or an object. In the world of Information security, it refers to a method of reliably identifying a person / entity as authorized to access certain information. ....etc

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Image-to-word transformation based on dividing and vector quantizing images with words
Abstract:
We propose a method to make a relationship between images and words. We adopt two processes in the method, one is a process to uniformly divide each image into sub-images with key words, and the other is a process to carry out vector quantization of the sub-images. These processes lead to results which show that each sub-image can be correlated to a set of words each of which is selected from words assigned to whole images. Original aspec ....etc

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Abstract
A good online dictionary can be fast, efficient, and more current than print editions. Better still, consulting an online dictionary may be more convenient than unearthing the cumbersome desk dictionary from a growing mound of journals and manuscripts. Whether print or online, dictionaries are helpful only if they include the words that users are seeking. Unfortunately, many dictionaries available on the Web are not so good. After selecting 15 uncommon”but not quite obscure”words from various fields of ....etc

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ABSTRACT
For languages without word boundary delimiters, dictionaries are
needed for segmenting running texts. This figure makes
segmentation accuracy depend significantly on the quality of the
dictionary used for analysis. If the dictionary is not sufficiently
good, it will lead to a great number of unknown or unrecognized
words. These unrecognized words certainly reduce segmentation
accuracy. To solve such problem, we propose a method based on
decision tree models. Without use of a dictionary, specific
information, called syn ....etc

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