Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Nudity Detection Algorithm for Web and Mobile Application
  Development   In our current web and mobile application development runtime nude image
content detection is very important. This paper presents a runtime nudity
detection method for web and mobile application development. We use two
parameters to detect the nude content of an image. One is the number of skin
pixels another is face region. A skin color model based on RGB, HSV color
spaces are used to detect skin pixels in an image. Google vision api is used to
detect the face region. By the percentage of skin regions and face regions an
image is identified nude or not. The success of this algorithm exists in
detecting skin regions and face regions. The skin detection algorithm can
detect skin 95% accurately with a low false-positive rate and the google vision
api for web and mobile applications can detect face 99% accurately with less
than 1 second time. From the experimental analysis, we have seen that the
proposed algorithm can detect 95% percent accurately the nudity of an image.

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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: q-bio
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The categories of this paper are: hep-lat
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The categories of this paper are: cond-mat
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The categories of this paper are: econ
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The categories of this paper are: math
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The categories of this paper are: solv-int
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: eess