Design And Implementation Of Facial Sketch Analysis And Recognition Method

With the development of social economy and civilization and the continuous progress of science and technology,people pay more and more attention to accurately identify the identity information of people.Face recognition has attracted significant attention,and the current advanced face recognition technology has been widely used in many fields.However,in some special scenes,it is difficult to directly obtain the facial photo shoot of the target person,therefore the facial features of witnesses are used to recall,draw a hand-drawn sketch of the human face,and use this sketch to find the target person.In this scenario,it is crucial to accurately identify people through face sketches.There is an increasing need for more accurate and reliable sketching and face authentication technologies.To address these issues,this thesis devises a method for face sketch analysis and recognition,and implemented a corresponding system firstly.This thesis presents a facial sketch matching algorithm based on the deep neural network combined with the traditional image feature extraction algorithm expressed attention mechanisms.Then it uses siamese network to compare sketch image features.The designed method can handle feature imbalance and shielding problem more accurately in face sketch recognition.According to the results of algorithm evaluation and system functional test,the facial sketch analysis and recognition method and design and implementation system proposed in this thesis can solve the problem of face sketch analysis and recognition in specific scenarios,and the system functions are complete.