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The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross\u2010domain qualitative feature\u2010based approach to match caricature with a mugshot. The proposed approach uses Haar\u2010like features for the detection of the face and other facial attributes. A point distribution measure is used to locate the exaggerated features. Furthermore, the ratio between different facial features was computed using different vertical and horizontal distances. These ratios were used to calculate the difference vector which is used as input to different machine and deep learning models. In order to attain better performance, stratified\n                    <jats:italic>k<\/jats:italic>\n                    \u2010fold cross\u2010validation with hyperparameter tuning is used. Convolution neural network\u2010based implementation outperformed the machine learning\u2010based models.\n                  <\/jats:p>","DOI":"10.1155\/2022\/6709707","type":"journal-article","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T20:51:31Z","timestamp":1645563091000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Caricature Face Photo Facial Attribute Similarity Generator"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1128-7337","authenticated-orcid":false,"given":"Muhammad Irfan","family":"Khan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5150-2228","authenticated-orcid":false,"given":"Muhammad Kashif","family":"Hanif","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1996-5916","authenticated-orcid":false,"given":"Ramzan","family":"Talib","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2022,2,22]]},"reference":[{"key":"e_1_2_9_1_2","volume-title":"Speakers give sound advice","author":"Gardner W.","year":"1911"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-7939.2006.00057.x"},{"key":"e_1_2_9_3_2","article-title":"Satire, sewers and statesmen: why james gillray was king of the cartoon","volume":"16","author":"Rowson M.","year":"2015","journal-title":"The Guardian"},{"key":"e_1_2_9_4_2","doi-asserted-by":"crossref","unstructured":"MishraA. 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