[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-664090-105":59,"doc-detail-664090-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","ai-driven-forensic-face-sketch-construction-and-recognition","AI-Driven Forensic Face Sketch Construction and Recognition","","Facial sketching and recognition are crucial tools for identifying criminal suspects when photographic or video evidence is unavailable. Traditional forensic sketching relies on artists interpreting eyewitness accounts, making it subjective, slow, and dependent on skill, while existing automated recognition methods face limitations: CNNs may miss fine-grained identity details, and GAN-based approaches can reduce recognition-critical facial fidelity. This paper presents an AI system for precise, efficient, and reliable sketch construction and deep learning-based recognition, accelerating investigations with scalable, data-driven matching.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ai-driven-forensic-face-sketch-construction-and-recognition/664090/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ai-driven-forensic-face-sketch-construction-and-recognition/664090.png","ImageObject",300,407,{"name":92,"@type":93},"Ben ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-29",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is forensic face sketching important in criminal investigations?","Question",{"text":112,"@type":113},"It helps reconstruct a suspect’s facial features from eyewitness accounts when photographic or video evidence is missing, supporting identification during investigations.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What limitations affect conventional and AI-based facial recognition approaches?",{"text":117,"@type":113},"Conventional sketching is subjective and time-consuming due to reliance on artist interpretation and witness recollection, while CNN-based models may lose fine-grained identity information and GAN transformations can sometimes sacrifice recognition-critical facial features.",{"name":119,"@type":110,"acceptedAnswer":120},"How does the proposed AI system improve sketch creation and recognition?",{"text":121,"@type":113},"It uses an AI-driven recommendation engine to guide compatible facial feature selection for better realism and proportionality, then converts sketches to digital images and performs deep learning recognition against a criminal database with top matching results.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},664090,1793239073,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},2336478951081,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","AI-Driven Forensic Face Sketch Construction and Recognition  \nKathyayini Pasunuri 1,*, Cheera Rohan 1, Gillala Vaishak Reddy 1, and Talla Sai  \nSree 2  \nDepartment of Artificial Intelligence and Data Science, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India  \n[pasunurikatyayini@gmail.com](pasunurikatyayini@gmail.com)  \nAbstract. Facial sketching and recognition is a critical crime solving tool in identifying criminal suspects. Conven-tionally, sketching is done using forensic artists interpreting eyewitness accounts into a drawing, a process prone to being subjective, time-consuming, and highly reliant on artistic skill. In addition, current au- tomated methods for Face recognition try to bring accuracies but have serious limitations. Convolution Neural Network (CNN) based recognition models tend to lose fine-grained identity specific information, resulting in poor feature matching, while Generative Adversarial Networks (GAN)-based transformations increase realism but occasionally sacrifice essential facial features required for effective recognition. These shortcomings render forensic face recognition time-consuming, unreliable, and less accurate in high-risk criminal investigations where accuracy is crucial. This paper introduces an AI-based system that trans- forms forensic sketching and recognition into a precise, efficient, and reliable tool.  \nThe initial phase enables investigators to build rich composite sketches by choosing individual facial features such as eyes, nose, lips, eyebrows, and hair / beard, so that every element positively contributes to the overall identity.  \nTo enhance consistency, an AI-facilitated recommendation engine provides compatible features, advancing realism without compromising proportionality. This minimizes human bias and guarantees that the resulting sketch better resembles the suspect’s true appearance. The process of converting a sketch into a digital image preserves major identity characteristics, providing for increased visual detail and closer resemblance to actual pho tographs. Lastly, recognition through deep learning guarantees that the output image is properly compared to a database of prior criminalsand shows the top five matches with percent- ages of individual feature similarity. This process-oriented method hastens investigation, boosts time, and gives law enforcement agencies a more data-dependent, accurate and scalable way to identify suspects.  \nKeywords: Forensic face sketch, Face Recognition, Deep learning, Feature selection, Convolution Neural Network, Generative Adversarial Network, Criminal investigations  \n1 Introduction  \nCriminal investigations usually rely on different types of evidence to determine  \nsuspects, but in the absence of photographic or video evidence, forensic face sketching is an essential tool. The capability to reconstruct a suspect’s features from eyewitness accounts is essential in crime solving. Police forces have long used talented forensic artists to try to convey verbal data in visual forms with sketches, yet the process is highly subjective. It relies upon interpretations by the artist and also on the recollection of the witness, and in the midst of the turmoil, this fails. Forensic skills, as well as personal biases, can also contribute to impacting accuracy and lead-ing to inaccuracies that hamper investigations. Furthermore, manual sketches consume a lot of time, preventing the progression of the case and minimizing the chances of rapid identification of suspects. Forensic identification is also a task of equal magnitude since freehand sketches are far from actual photographs. Conventional identi- fication techniques extract essential facial attributes and try to match them against criminal files, but the lack of color, texture, and elaborate shading makes direct comparison difficult. Most conventional image-processing techniques are edge detection and structural similarity, which ignore the artistic simplification ","cbCaiuHXInbHihPJ","https://ap.wps.com/l/cbCaiuHXInbHihPJ","pdf",980577,18,"English","# 1 Introduction\n## 1.1 Research Objectives","[{\"question\":\"Why is forensic face sketching important in criminal investigations?\",\"answer\":\"It helps reconstruct a suspect’s facial features from eyewitness accounts when photographic or video evidence is missing, supporting identification during investigations.\"},{\"question\":\"What limitations affect conventional and AI-based facial recognition approaches?\",\"answer\":\"Conventional sketching is subjective and time-consuming due to reliance on artist interpretation and witness recollection, while CNN-based models may lose fine-grained identity information and GAN transformations can sometimes sacrifice recognition-critical facial features.\"},{\"question\":\"How does the proposed AI system improve sketch creation and recognition?\",\"answer\":\"It uses an AI-driven recommendation engine to guide compatible facial feature selection for better realism and proportionality, then converts sketches to digital images and performs deep learning recognition against a criminal database with top matching results.\"}]","AI-Driven Forensic Face Sketch Construction and Recognition | PDF",45]