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People Recognition via Tongue Print Using Deep and Machine Learning

Journal of Artificial Intelligence and Technology 2023年第3期3卷 119-125页

作者： Ahmed Shallal Obaid Mohammed Y.Kamil basaad hadi hamza College of Science Mustansiriyah UniversityBaghdadIraq

The tongue is a unique organ that is well protected inside the mouth and not affected by external factors;it is also difficult to *** biometric systems are widely used for authentication and recognition,such as fingerprints,faces,iris,sound,and *** biometrics represent a challenge and an obstacle as they can be falsified,duplicates can be made(e.g.,iris,face,fingers,and signature),or they are expensive and rarely used(e.g.,DNA).The increased security measures called for modern biometrics that is more secure,less expensive,and cannot be *** a result,the goal of this paper is to create a system for distinguishing people based on their tongue *** will contribute to solving many forensic issues and increasing electronic security because it has features suitable for identification and biometrically distinguishing between *** this paper,the tongue is located based on the fixed window size *** tongue localization,feature extraction using the VGG-16 model,and a classification system that uses both transfer learning and machine learning as VGG-16,XGBoost,KNN,and random forest classifiers,extracted features are then trained for personal *** dataset consisted of 1085 tongue images of 138 people with a test ratio of 20%,and the results achieved an accuracy of 92%.The process of distinguishing people through tongue prints has proven to be effective and accurate.

关键词： pattern recognition ROI texture recognition tongue VGG-16

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