Realtime Porn Image Censor Method for Preventing Smartphone Users to Take a Pornographic Photo

Nowadays, many pornographic photos are taken by using smartphones. These photos unfortunately can be shared instantly around the world by only using social media. In order to minimize the spread of these kind of photos, this paper proposes a method to prevent smartphones users to take pornographic photo. This paper proposes a built-in camera application that can detect the existence of pornographic aspect in a photo then it can automatically censor the pornographic part in real time. The main approach used in this paper is it recognizes the pornographic part of a photo by using pattern matching method, then it censors those parts automatically. If a smartphone user tries to take a pornographic photo, with this proposed system, then he/she will save a photo including the censors. The key feature of proposed method is its ability to censor only pornographic part of a photo automatically in real time. This proposed method is also implemented in common smartphone. It has been tested to practically run in low resource machine like a smartphone. This paper is designed to overcome the ambiguity of pornographic photo. For example, in some countries the existence of bra can be categorized as a pornographic part of a photo. Meanwhile in other countries, a pornographic part of a photo must contain nipples. The proposed method uses external files as pattern matching templates to find pornographic part in a photo. By using the external files, the proposed method can flexibly adjust its measurement of pornographic part in a photo according to the circumstance that it faces. For example, the proposed method uses different external file to identify pornographic part in a photo taken in West Countries and in East Countries. By using the proposed method, the spread of pornographic photo taken by smartphone can be decreased automatically and flexibly.

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