{"id":3099,"date":"2025-11-06T07:19:14","date_gmt":"2025-11-06T07:19:14","guid":{"rendered":"https:\/\/blog.bioaffix.com\/uncategorized\/guvenlik-gecis-sistemlerinde-yuz-tanima-teknolojileri\/"},"modified":"2025-11-06T08:05:09","modified_gmt":"2025-11-06T08:05:09","slug":"facial-recognition-technologies-in-security-access-systems","status":"publish","type":"post","link":"https:\/\/blog.bioaffix.com\/en\/biometric-technologies\/facial-recognition-technologies-in-security-access-systems\/","title":{"rendered":"Facial Recognition Technologies in Security Access Systems"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Biometric identity is a type of permanent and unique user identifier used to keep user authentication secure (Kumar, Yadav, Saini, 2023: 2772\u20136711). The process commonly known as <em>facial recognition<\/em> actually takes place in two stages.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first stage is <em>face detection<\/em>, which involves locating faces within a scene. Face detection is, in fact, the challenging part of the task \u2014 it is the process of removing the background (everything that is not a face) and isolating a clean face image.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The second stage is <em>face recognition<\/em> or <em>face verification<\/em>, where the system determines whose face it is. In short, the question that needs to be answered in the face detection phase is:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cIs there a face, and if so, where is it?\u201d whereas in face recognition or verification, the question becomes: \u201cWhose face is this?\u201d (Konak, 2006:11)<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Facial recognition methods have been developed primarily to meet personal and institutional security needs, although they are now used in many areas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This method, frequently used in secure access control systems, offers highly practical usage.<br>In traditional access systems, carrying physical items such as keys or cards, and the risk of them being lost or stolen, make security management more difficult.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Likewise, systems such as fingerprint, retina scan, or palm recognition require physical contact, which makes face recognition a more advantageous alternative.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-bioaffix-blog wp-block-embed-bioaffix-blog\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"fZuGvpayOi\"><a href=\"https:\/\/blog.bioaffix.com\/en\/biometric-technologies\/boosting-printer-and-printout-security-with-bioaffix-biometric-authentication\/\">Boosting Printer and Printout Security with BioAffix Biometric Authentication<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Boosting Printer and Printout Security with BioAffix Biometric Authentication&#8221; &#8212; bioaffix.blog\" src=\"https:\/\/blog.bioaffix.com\/en\/biometric-technologies\/boosting-printer-and-printout-security-with-bioaffix-biometric-authentication\/embed\/#?secret=GByj2fuCWW#?secret=fZuGvpayOi\" data-secret=\"fZuGvpayOi\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Facial recognition consists of detecting a face in an image and comparing it with the previously registered data in the system to verify whether it matches. If the verification succeeds, access is granted and the secure passage process is completed (Kaplan, 2018:1\u20133).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Common Application Areas of Facial Recognition Systems<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Military and Law Enforcement<\/li>\n\n\n\n<li class=\"\">Border Crossings and Airports<\/li>\n\n\n\n<li class=\"\">Banks and Financial Institutions<\/li>\n\n\n\n<li class=\"\">Public Buildings and Hospitals<\/li>\n\n\n\n<li class=\"\">Corporate Offices and Smart Building Systems<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Facial recognition techniques have evolved significantly over the years.<br>Traditional methods relied on <em>hand-crafted features<\/em> such as edges and texture descriptors, combined with machine learning techniques like Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), or Support Vector Machines (SVM) (Shokouh, 2013:8).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recently, however, these traditional methods have been replaced by deep learning models based on Convolutional Neural Networks (CNNs). The main advantage of deep learning methods is their ability to be trained on large datasets to learn the best feature representations for the data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">System Architecture of Access Control with Facial Recognition<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Access control systems generally consist of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">A <strong>camera<\/strong> that captures the image,<\/li>\n\n\n\n<li class=\"\">A <strong>database<\/strong> storing the enrolled facial data,<\/li>\n\n\n\n<li class=\"\">A <strong>computer<\/strong> that processes both reference and test images, and<\/li>\n\n\n\n<li class=\"\">The <strong>user<\/strong>, whose image is captured.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The process includes face detection, feature extraction, and face recognition stages.<br>For face detection, methods like Viola\u2013Jones (Viola, Jones, 2004:137\u2013154) are widely used.<br>For recognition, both traditional methods such as PCA (Mamak, Konyar, Solak, 2020:497\u2013504) and modern models such as CNNs can be utilized. A dataset of facial images is then employed to test and validate these models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Are Facial Recognition Systems Preferred in Access Control?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Biometric applications are now used in many fields, and access control systems are among the most common. Although these systems serve various needs, their fundamental purpose is to ensure security by identifying individuals accurately. Access control systems are widely used in banking, defense, and communications, among other sectors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Unique and immutable biometric traits such as face, fingerprint, palm, retina, and voice are considered essential sources for ensuring security. Among these, facial recognition stands out due to its contactless nature and easy applicability in many systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, facial recognition systems still face several challenges, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Variations in lighting conditions,<\/li>\n\n\n\n<li class=\"\">Different facial poses,<\/li>\n\n\n\n<li class=\"\">Emotional expressions and facial gestures,<\/li>\n\n\n\n<li class=\"\">Aging-related changes,<\/li>\n\n\n\n<li class=\"\">Obstructions such as beards, mustaches, glasses, or hats.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Phases of Facial Recognition<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"204\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/blog.bioaffix.com\/wp-content\/uploads\/Facial-Recognition-Steps.webp?resize=640%2C204&#038;ssl=1\" alt=\"\" class=\"wp-image-3095\" srcset=\"https:\/\/i0.wp.com\/blog.bioaffix.com\/wp-content\/uploads\/Facial-Recognition-Steps.webp?w=739&amp;ssl=1 739w, https:\/\/i0.wp.com\/blog.bioaffix.com\/wp-content\/uploads\/Facial-Recognition-Steps.webp?resize=300%2C96&amp;ssl=1 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Facial recognition generally consists of three main phases: face detection, feature extraction, and face recognition.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Face Detection<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This is the process of identifying human faces in an image. At this stage, the presence of a face is determined, and its location is framed within certain boundaries. Variations in lighting and facial expressions may hinder accurate detection.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To make facial recognition more robust, <em>preprocessing steps<\/em> are performed \u2014 methods such as Viola\u2013Jones detector, Histogram of Oriented Gradients (HOG), and Principal Component Analysis (PCA) are commonly used. This step can also be adapted for detecting other types of objects.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Feature Extraction<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The main task in this step is to geometrically analyze the distinctive facial features (such as the eyes, nose, mouth, and eyebrows) and their relationships. Every face is characterized by its unique structure, size, and shape.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Various techniques extract these details using dimensions and spatial relationships: HOG, Eigenfaces, Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA), Scale-Invariant Feature Transform (SIFT), Gabor filters, Local Phase Quantization (LPQ), Haar wavelets, Fourier transforms, and Local Binary Patterns (LBP) are among the main algorithms used for feature extraction.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Face Recognition<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This phase considers the extracted features and compares them to the stored data.<br>Facial recognition systems have two main functions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><strong>Identification<\/strong> \u2014 determining whose face it is,<\/li>\n\n\n\n<li class=\"\"><strong>Verification<\/strong> \u2014 confirming that the face matches the claimed identity.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These processes aim to find the most probable match and decide whether to accept or reject the input face.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Main Framework of a Facial Recognition System<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Data Acquisition<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The system begins with acquiring data \u2014 capturing a facial image that will be used in subsequent stages for comparison.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Preprocessing<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before the feature extraction phase, face images are normalized to improve recognition accuracy.<br>This stage includes resizing, contrast adjustment, noise filtering, background removal, and rotation or translation normalization.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Feature Extraction<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">After preprocessing, the essential features of the normalized image are extracted.<br>The optimal feature vector obtained here is then prepared for the classification phase.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Classification<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The extracted features of the face image are compared with those in the database, and the result is classified as known or unknown.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Personal Image Data<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Facial images or feature vectors are stored in a personal database for recognition purposes.<br>However, this method may raise privacy concerns, as biometric data can be sensitive.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-bioaffix-blog wp-block-embed-bioaffix-blog\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"KwxCM7eeaZ\"><a href=\"https:\/\/blog.bioaffix.com\/en\/biometric-technologies\/bioaffix-gate-vision-mobile-co-developed-with-intel\/\">BioAffix Gate Vision Mobile, Co-Developed with Intel, Is Redefining Industry Standards<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;BioAffix Gate Vision Mobile, Co-Developed with Intel, Is Redefining Industry Standards&#8221; &#8212; bioaffix.blog\" src=\"https:\/\/blog.bioaffix.com\/en\/biometric-technologies\/bioaffix-gate-vision-mobile-co-developed-with-intel\/embed\/#?secret=G4WpThapxN#?secret=KwxCM7eeaZ\" data-secret=\"KwxCM7eeaZ\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Therefore, solutions that do not store biometric data on devices or connected servers \u2014 but allow users to retain their biometric data under their own control \u2014 are increasingly in demand.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Facial recognition systems play a key role in enabling individual and organizational security to adapt to the digital era. With the high-quality, technology-driven solutions offered by Ones Technology, these processes become more reliable, faster, and user-friendly. <\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-bioaffix-blog wp-block-embed-bioaffix-blog\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"tlJ3j3WShH\"><a href=\"https:\/\/blog.bioaffix.com\/en\/bioaffix-mailing-en\/ones-technologys-yer-2025-continues-with-awards\/\">Ones Technology&#8217;s Year 2025 Continues with Awards<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Ones Technology&#8217;s Year 2025 Continues with Awards&#8221; &#8212; bioaffix.blog\" src=\"https:\/\/blog.bioaffix.com\/en\/bioaffix-mailing-en\/ones-technologys-yer-2025-continues-with-awards\/embed\/#?secret=znFHTJhK0C#?secret=tlJ3j3WShH\" data-secret=\"tlJ3j3WShH\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The core of the Zero Trust philosophy \u2014 <em>\u201cnever trust, always verify\u201d<\/em> \u2014 is built upon advanced biometric authentication technologies, which elevate access control infrastructures to a new level of security.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As identity, password, and data breaches continue to rise globally, this principle has become the new mantra of security.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Within this context, 3D facial recognition and biometric identity verification technologies are becoming indispensable market leaders.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Furthermore, KVKK and GDPR-compliant solutions place technology on a more human-centric foundation, enhancing privacy protection and user trust.oturtmakta ve kullan\u0131c\u0131 a\u00e7\u0131s\u0131ndan tercih nedeni yapmaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Kaynak\u00e7a\">Sources<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Kumar, A. Yadav, R. K. Saini, D. J. B. (2023). Create and Implement a New Method for Robust Video Face Recognition using Convolutional Neural Network Algorithm, Advances in Electrical Engineering, Electronics and Energy 5: 2772-6711.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Konak, E. S. (2006). Bilgisayar Destekli Y\u00fcz Tan\u0131ma Sistemi Tasar\u0131m\u0131: 11.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kaplan, A. (2018). Ger\u00e7ek ve Yar\u0131 Ger\u00e7ek Zamanl\u0131 Y\u00fcz Tespit Etme: 1-3.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Shokouh, G. S. (2013). Ger\u00e7ek Zamanl\u0131 Say\u0131sal G\u00f6r\u00fcnt\u00fc \u0130\u015fleme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma Tekniklerinin Ara\u015ft\u0131r\u0131lmas\u0131 ve Uygulanmas\u0131: 8.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c7avdarc\u0131, F. (2024). Ger\u00e7ek Zamanl\u0131 Y\u00fcz Tan\u0131ma Sistemi Tabanl\u0131 G\u00fcvenlik Ge\u00e7i\u015f Sistemi Tasar\u0131m\u0131 <a href=\"http:\/\/www.softwebsolutions.com\/resources\/AI-based-face-recognition.html\" target=\"_blank\" rel=\"noopener\">http:\/\/www.softwebsolutions.com\/resources\/AI-based-face-recognition.html<\/a><\/p>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"background-color:#eaecec\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-8b198194b28a8ce3fdc76f5b9e4096d9\" style=\"color:#ca171e\"><strong>Subscribe to the BioAffix Newsletter<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">You can stay informed about the latest developments by subscribing to the BioAffix e-newsletter, published quarterly.<\/p>\n\n\n<noscript class=\"ninja-forms-noscript-message\">\n\tNotice: JavaScript is required for this content.<\/noscript>\n<div id=\"nf-form-3-cont\" class=\"nf-form-cont\" aria-live=\"polite\" aria-labelledby=\"nf-form-title-3\" aria-describedby=\"nf-form-errors-3\" role=\"form\">\n\n    <div class=\"nf-loading-spinner\"><\/div>\n\n<\/div>\n        <!-- That data is being printed as a workaround to page builders reordering the order of the scripts loaded-->\n        <script>var formDisplay=1;var nfForms=nfForms||[];var form=[];form.id='3';form.settings={\"objectType\":\"Form Setting\",\"editActive\":true,\"title\":\"BioAffix Subscription\",\"default_label_pos\":\"above\",\"show_title\":\"0\",\"clear_complete\":\"1\",\"hide_complete\":\"1\",\"logged_in\":\"\",\"wrapper_class\":\"\",\"element_class\":\"\",\"form_title_heading_level\":\"3\",\"key\":\"\",\"add_submit\":\"0\",\"currency\":\"\",\"unique_field_error\":\"A form with this value has already been submitted.\",\"not_logged_in_msg\":\"\",\"sub_limit_msg\":\"The form has reached its submission limit.\",\"calculations\":[],\"formContentData\":[\"e-posta_1716481306319\",\"abone_ol_1716481278510\"],\"changeEmailErrorMsg\":\"Please enter a valid email address\",\"changeDateErrorMsg\":\"Please enter a valid date!\",\"confirmFieldErrorMsg\":\"These fields must match!\",\"fieldNumberNumMinError\":\"Number Min Error\",\"fieldNumberNumMaxError\":\"Number Max Error\",\"fieldNumberIncrementBy\":\"Please increment by \",\"formErrorsCorrectErrors\":\"Please correct the error(s) below before submitting\",\"validateRequiredField\":\"This field is required\",\"honeypotHoneypotError\":\"Honeypot Error\",\"fieldsMarkedRequired\":\"Required field(s)\",\"unique_field\":\"e-posta_1716481306319\",\"drawerDisabled\":false,\"objectDomain\":\"display\",\"allow_public_link\":0,\"embed_form\":\"\",\"ninjaForms\":\"Ninja Forms\",\"fieldTextareaRTEInsertLink\":\"Insert Link\",\"fieldTextareaRTEInsertMedia\":\"Insert Media\",\"fieldTextareaRTESelectAFile\":\"Select a file\",\"tableInsertRowAbove\":\"Insert Row Above\",\"tableInsertRowBelow\":\"Insert Row Below\",\"tableInsertColumnLeft\":\"Insert Column Left\",\"tableInsertColumnRight\":\"Insert Column Right\",\"tableDeleteRow\":\"Delete Row\",\"tableDeleteColumn\":\"Delete Column\",\"tableDeleteTable\":\"Delete Table\",\"tableLegacyNotice\":\"This content has tables in the old editor format. 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recognition.<\/p>\n","protected":false},"author":3,"featured_media":3097,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"nf_dc_page":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[149],"tags":[233,232,230,231],"class_list":["post-3099","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-biometric-technologies","tag-access-control","tag-facial-recognition","tag-gecis-kontrol","tag-yuz-tanima"],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/blog.bioaffix.com\/wp-content\/uploads\/Gecis-Kontrol-ve-Guvenlik-Sistemlerinde-Yuz-Tanima-Teknolojileri-scaled.webp?fit=2560%2C1440&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/posts\/3099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/comments?post=3099"}],"version-history":[{"count":8,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/posts\/3099\/revisions"}],"predecessor-version":[{"id":3112,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/posts\/3099\/revisions\/3112"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/media\/3097"}],"wp:attachment":[{"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/media?parent=3099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/categories?post=3099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.bioaffix.com\/en\/wp-json\/wp\/v2\/tags?post=3099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}