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PHP項目中實現圖像識別技術的原理是什么？相信很多沒有經驗的人對此束手無策，為此本文總結了問題出現的原因和解決方法，通過這篇文章希望你能解決這個問題。
其實圖像識別技術與我們平時做的密碼驗證之類的沒有什么區別，都是事先把要校驗的數據入庫，然后使用時將錄入（識別）的數據與庫中的數據做對比，只不過圖像識別技術有一部分的容錯性，而我們平時的密碼驗證是要100%匹配。
class gjPhone
{
protected $imgPath; // 圖片路徑
protected $imgSize; // 圖片大小
protected $hecData; // 分離后數組
protected $horData; // 橫向整理的數據
protected $verData; // 縱向整理的數據
function __construct ($path)
{
$this->imgPath = $path;
}
public function getHec ()
{
$size = getimagesize($this->imgPath);
$res = imagecreatefrompng($this->imgPath);
for ($i = 0; $i < $size[1]; ++ $i) {
for ($j = 0; $j < $size[0]; ++ $j) {
$rgb = imagecolorat($res, $j, $i);
$rgbarray = imagecolorsforindex($res, $rgb);
if ($rgbarray['red'] < 125 || $rgbarray['green'] < 125 ||
$rgbarray['blue'] < 125) {
$data[$i][$j] = 1;
} else {
$data[$i][$j] = 0;
}
}
}
$this->imgSize = $size;
$this->hecData = $data;
}
public function magHorData ()
{
$data = $this->hecData;
$size = $this->imgSize;
$z = 0;
for ($i = 0; $i < $size[1]; ++ $i) {
if (in_array('1', $data[$i])) {
$z ++;
for ($j = 0; $j < $size[0]; ++ $j) {
if ($data[$i][$j] == '1') {
$newdata[$z][$j] = 1;
} else {
$newdata[$z][$j] = 0;
}
}
}
}
return $this->horData = $newdata;
}
public function showPhone ($ndatas)
{
error_reporting(0);
$phone = null;
$d = 0;
foreach ($ndatas as $key => $val) {
if (in_array(1, $val)) {
foreach ($val as $k => $v) {
$ndArr[$d] .= $v;
}
}
if (! in_array(1, $val)) {
$d ++;
}
}
foreach ($ndArr as $key01 => $val01) {
$phone .= $this->initData($val01);
}
return $phone;
}
/**
* 初始數據
*/
public function initData ($numStr)
{
$result = null;
$data = array(
'1' => '00000000111000000000000001110000000001001000100000000010100011000000000011000110000000000110000100000000010110011000000',
'5' => '00000000001000000000000000010000000000100100100000000000101001110000000000100000110000000011000000100000001101000010000',
'10' => '00000011100011100000000011001100100100100010010001000110000100100010001100001001000100011000010010001001001001100010100'
);
foreach ($data as $key => $val) {
similar_text($numStr, $val, $pre);
if ($pre > 95) { // 相似度95%以上
$result = $key;
break;
}
}
return $result;
}
}
$imgurl = 'jd.png';
list ($width, $heght, $type, $attr) = getimagesize($imgurl);
$new_w = 17;
$new_h = 11;
$thisimage = imagecreatetruecolor($new_w, $new_h); // $new_w, $new_h 為裁剪后的圖片寬高
$background = imagecolorallocate($thisimage, 255, 255, 255);
imagefilledrectangle($thisimage, 0, 0, $new_w, $new_h, $background);
$oldimg = imagecreatefrompng($imgurl); // 載入原始圖片
// 首先定位要取圖的位置(這里可以通過前端js或者其他手段定位，由于我這是測試，所以就ps定位并寫死了)
$weizhi = array(
'1' => 165,
'5' => 308,
'10' => 456
);
foreach ($weizhi as $wwzz) {
$src_y = 108;
imagecopy($thisimage, $oldimg, 0, 0, $wwzz, $src_y, $new_w, $new_h); // $src_y,$new_w為原圖中裁剪區域的左上角坐標拷貝圖像的一部分將src_im圖像中坐標從src_x，src_y開始，寬度為src_w，高度為src_h的一部分拷貝到dst_im圖像中坐標為dst_x和dst_y的位置上。
$tem_png = 'tem_1.png';
imagepng($thisimage, __DIR__ . '/' . $tem_png); // 通過定位從原圖中copy出想要識別的位置并生成新的緩存圖，用以后面的圖像識別類使用。
$gjPhone = new gjPhone($tem_png); // 實例化類
$gjPhone->getHec(); // 進行圖像像素分離
$horData = $gjPhone->magHorData(); // 將分離出是數據轉成01表示的圖像、這里可以根據自己喜好定
$phone = $gjPhone->showPhone($horData); // 將轉換好的01表示的數據與庫中的數據進行匹配，匹配度95以上就算成功，庫這里由于是做測試就直接寫了數組
echo '| ' . $phone . ' | ';
}class gjPhone
{
protected $imgPath; // 圖片路徑
protected $imgSize; // 圖片大小
protected $hecData; // 分離后數組
protected $horData; // 橫向整理的數據
protected $verData; // 縱向整理的數據
function __construct ($path)
{
$this->imgPath = $path;
}
/**
* 顏色分離轉換...
*
* @param unknown_type $path
* @return unknown
*/
public function getHec ()
{
$size = getimagesize($this->imgPath);
$res = imagecreatefrompng($this->imgPath);
for ($i = 0; $i < $size[1]; ++ $i) {
for ($j = 0; $j < $size[0]; ++ $j) {
$rgb = imagecolorat($res, $j, $i);
$rgbarray = imagecolorsforindex($res, $rgb);
if ($rgbarray['red'] < 125 || $rgbarray['green'] < 125 ||
$rgbarray['blue'] < 125) {
$data[$i][$j] = 1;
} else {
$data[$i][$j] = 0;
}
}
}
$this->imgSize = $size;
$this->hecData = $data;
}
/**
* 顏色分離后的數據橫向整理...
*
* @return unknown
*/
public function magHorData ()
{
$data = $this->hecData;
$size = $this->imgSize;
$z = 0;
for ($i = 0; $i < $size[1]; ++ $i) {
if (in_array('1', $data[$i])) {
$z ++;
for ($j = 0; $j < $size[0]; ++ $j) {
if ($data[$i][$j] == '1') {
$newdata[$z][$j] = 1;
} else {
$newdata[$z][$j] = 0;
}
}
}
}
return $this->horData = $newdata;
}
/**
* 整理縱向數據...
*
* @return unknown
*/
public function magVerData ($newdata)
{
for ($i = 0; $i < 132; ++ $i) {
for ($j = 1; $j < 13; ++ $j) {
$ndata[$i][$j] = $newdata[$j][$i];
}
}
$sum = count($ndata);
$c = 0;
for ($a = 0; $a < $sum; $a ++) {
$value = $ndata[$a];
if (in_array(1, $value)) {
$ndatas[$c] = $value;
$c ++;
} elseif (is_array($ndatas)) {
$b = $c - 1;
if (in_array(1, $ndatas[$b])) {
$ndatas[$c] = $value;
$c ++;
}
}
}
return $this->verData = $ndatas;
}
/**
* 顯示電話號碼...
*
* @return unknown
*/
public function showPhone ($ndatas)
{
$phone = null;
$d = 0;
foreach ($ndatas as $key => $val) {
if (in_array(1, $val)) {
foreach ($val as $k => $v) {
$ndArr[$d] .= $v;
}
}
if (! in_array(1, $val)) {
$d ++;
}
}
foreach ($ndArr as $key01 => $val01) {
$phone .= $this->initData($val01);
}
return $phone;
}
/**
* 分離顯示...
*
* @param unknown_type $dataArr
*/
function drawWH ($dataArr)
{
if (is_array($dataArr)) {
foreach ($dataArr as $key => $val) {
foreach ($val as $k => $v) {
if ($v == 0) {
$c .= "<font color='#FFFFFF'>" . $v . "</font>";
} else {
$c .= $v;
}
}
$c .= "<br/>";
}
}
echo $c;
}
/**
* 初始數據...
*
* @param unknown_type $numStr
* @return unknown
*/
public function initData ($numStr)
{
$result = null;
$data = array(
0 => '000011111000001111111110011000000011110000000001110000000001110000000001110000000001011000000011011100000111000111111100000001110000',
1 => '011000000000011000000000111111111111111111111111',
2 => '001000000011011000000111110000001101110000011001110000011001110000110001111001100001011111100001000110000001',
3 => '001000000010011000000011110000000001110000000001110000110001110000110001011001110011011111011111000110001100',
4 => '000000001100000000111100000001111100000011101100000111001100001100001100011000001100111111111111111111111111000000001100000000000100',
5 => '111111000001111111000001110001000001110001000001110001100001110001100001110000110011110000111111000000001100',
6 => '000011111000001111111110011000110011110001100001110001100001110001100001110001100001010001110011010000111111000000001100',
7 => '110000000000110000000111110000111111110001110000110111000000111100000000111000000000111000000000',
8 => '000100011110011111111111110011100001110001100001110001100001110001100001110011100001011111111111000100011110',
9 => '001111000000011111100001110000110001110000110001110000110001110000110001011000100001011111100111000111111110000001110000'
);
foreach ($data as $key => $val) {
similar_text($numStr, $val, $pre);
if ($pre > 95) { // 相似度95%以上
$result = $key;
break;
}
}
return $result;
}
}
$imgPath = "http://bj.ganji.com/tel/5463013757650d6c5e31093e563c51315b6c5c6c5237.png";
$gjPhone = new gjPhone($imgPath);
// 進行顏色分離
$gjPhone->getHec();
// 畫出橫向數據
$horData = $gjPhone->magHorData();
echo "===============橫向數據==============<br/><br/><br/>";
$gjPhone->drawWH($horData);
// 畫出縱向數據
$verData = $gjPhone->magVerData($horData);
echo "<br/><br/><br/>===============縱向數據==============< br/><br/><br/>";
$gjPhone->drawWH($verData);
// 輸出電話
$phone = $gjPhone->showPhone($verData);
echo "<br/><br/><br/>===============電話==============<br /><br/><br/>" . $phone;看完上述內容，你們掌握PHP項目中實現圖像識別技術的原理是什么的方法了嗎？如果還想學到更多技能或想了解更多相關內容，歡迎關注億速云行業資訊頻道，感謝各位的閱讀！
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