PHP自动识别用户上传不雅图片并发邮箱提示

在这份教程中,我们将会学习到如何阻止用户通过上传不雅图片,这个测试了一下只有一点作用,但人家真的要做了估计也没有办法了,下面来给大家介绍解决办法吧.

我在phpclasses.org上面偶然发现一个很有用的,由Bakr Alsharif开发的可以帮助开发者基于皮肤像素点来检测图片的类文件.

它会分析在一张图片的不同部分使用的颜色,并决定其是否匹配人类皮肤颜色的色调,作为分析的结果,他会返回一个反映图片包含xx露的可能性的分值,此外,他还可以输出被分析的图片，上面对使用给定颜色的肤色的像素进行了标记,当前它可以对PNG,GIF和JPEG图片进行分析.

PHP下面展示了如何使用这个PHP类,让我们先从包含过滤器,nf.php文件开始,代码如下:

include('nf.php');
//接下来,创建一个新的名叫ImageFilter的类,然后把它放到一个叫做$filter的变量中,代码如下:
$filter = new ImageFilter; 
//获取图片的分值并将其放到一个$score变量中,代码如下:
$score = $filter -> GetScore($_FILES['img']['tmp_name']);
//如果图片分值大于或等于60%,那就展示一条（告警）消息,代码如下:
if($score >= 60){
/*Message*/
}

下面是所有的PHP代码:

index.php

 GetScore($_FILES['img']['tmp_name']);
/*If the $score variable is set*/
if (isset($score)) {
    /*If the image contains nudity display image score and message. Score value If more than 60%, it consider as adult image.*/
    if ($score >= 60){
        $error = "Image scored " . $score . "%, It seems that you have uploaded a nude picture.";
    /*If the image doesn't contain nudity*/ 
    } else if ($score Congratulations, you have uplaoded an non-nude image.";
    }
}
?>


    

Upload image:

nf.php

arA['R'] = ($this->colorA >> 16) & 0xFF;
        $this->arA['G'] = ($this->colorA >> 8) & 0xFF;
        $this->arA['B'] = $this->colorA & 0xFF;
        
        $this->arB['R'] = ($this->colorB >> 16) & 0xFF;
        $this->arB['G'] = ($this->colorB >> 8) & 0xFF;
        $this->arB['B'] = $this->colorB & 0xFF;
    }
    
    function GetScore($image)
    {
        $x = 0; $y = 0;
        $img = $this->_GetImageResource($image, $x, $y);
        if(!$img) return false;

        $score = 0;
        
        $xPoints = array($x/8, $x/4, ($x/8 + $x/4), $x-($x/8 + $x/4), $x-($x/4), $x-($x/8));
        $yPoints = array($y/8, $y/4, ($y/8 + $y/4), $y-($y/8 + $y/4), $y-($y/8), $y-($y/8));
        $zPoints = array($xPoints[2], $yPoints[1], $xPoints[3], $y);

        
        for($i=1; $i= $this->colorA && $color colorB)
                {
                    $color = array('R'=> ($color >> 16) & 0xFF, 'G'=> ($color >> 8) & 0xFF, 'B'=> $color & 0xFF);
                    if($color['G'] >= $this->arA['G'] && $color['G'] arB['G'] && $color['B'] >= $this->arA['B'] && $color['B'] arB['B'])
                    {
                        if($i >= $zPoints[0] && $j >= $zPoints[1] && $i =$xPoints[5] || $j = $yPoints[5])
                        {
                            $score += 0.10;
                        }
                        elseif($i =$xPoints[4] || $j = $yPoints[4])
                        {
                            $score += 0.40;
                        }
                        else
                        {
                            $score += 1.50;
                        }
                    }
                }
            }
        }
        
        imagedestroy($img);
        
        $score = sprintf('%01.2f', ($score * 100) / ($x * $y));
        if($score > 100) $score = 100;
        return $score;
    }
    
    function GetScoreAndFill($image, $outputImage)
    {
        $x = 0; $y = 0;
        $img = $this->_GetImageResource($image, $x, $y);
        if(!$img) return false;

        $score = 0;

        $xPoints = array($x/8, $x/4, ($x/8 + $x/4), $x-($x/8 + $x/4), $x-($x/4), $x-($x/8));
        $yPoints = array($y/8, $y/4, ($y/8 + $y/4), $y-($y/8 + $y/4), $y-($y/8), $y-($y/8));
        $zPoints = array($xPoints[2], $yPoints[1], $xPoints[3], $y);


        for($i=1; $i= $this->colorA && $color colorB)
                {
                    $color = array('R'=> ($color >> 16) & 0xFF, 'G'=> ($color >> 8) & 0xFF, 'B'=> $color & 0xFF);
                    if($color['G'] >= $this->arA['G'] && $color['G'] arB['G'] && $color['B'] >= $this->arA['B'] && $color['B'] arB['B'])
                    {
                        if($i >= $zPoints[0] && $j >= $zPoints[1] && $i =$xPoints[5] || $j = $yPoints[5])
                        {
                            $score += 0.10;
                            imagefill($img, $i, $j, 14540253);
                        }
                        elseif($i =$xPoints[4] || $j = $yPoints[4])
                        {
                            $score += 0.40;
                            imagefill($img, $i, $j, 16514887);
                        }
                        else
                        {
                            $score += 1.50;
                            imagefill($img, $i, $j, 512);
                        }
                    }
                }
            }
        }
        imagejpeg($img, $outputImage);

        imagedestroy($img);

        $score = sprintf('%01.2f', ($score * 100) / ($x * $y));
        if($score > 100) $score = 100;
        return $score;
    }
    
    function _GetImageResource($image, &$x, &$y)
    {
        $info = GetImageSize($image);
        
        $x = $info[0];
        $y = $info[1];
        
        switch( $info[2] )
        {
            case IMAGETYPE_GIF:
                return @ImageCreateFromGif($image);
                
            case IMAGETYPE_JPEG:
                return @ImageCreateFromJpeg($image);
                
            case IMAGETYPE_PNG:
                return @ImageCreateFromPng($image);
                
            default:
                return false;
        }
    }
}

?>

标记语言:我们可以使用一个基础的HTML表单上传图片,代码如下:

Upload image:

请记得,PHP不能够检测所有的图片,所以不完全可信,我希望你觉得这还有点用处.

教程地址：

欢迎转载！但请带上文章地址^^