Majlesi Journal of Electrical Engineering Kinship Recognition based on Deep Scattering Wavelet Convolutional Neural Network on Wild Facial Image Volume 18 (2024) Issue 1, March 2024 2024 04 21 Kinship Recognition based on Deep Scattering Wavelet Convolutional Neural Network on Wild Facial Image 10.30486/mjee.2023.1979035.1066 EN Somayeh Arab Najafabadi Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran Sara Nazari Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran 0000-0003-4903-4394 Nafiseh Osati Eraghi Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran Journal Article 2024 04 21 Kinship verification is a process that two or more people has a family relation such as father and son or other family relation. Numerous studies have been presented to investigate the relationship between people. Kingship verification can be done based on image of face. Most of the methods presented on face images work well on face data sets recorded under controlled conditions. However, due to the complex nature of environments, rapidly and accurately examining human kinship in real-world unrestricted or wild-type scenarios is still a challenging research. In this paper, in order to overcome the aforementioned challenges, an efficient and new method is presented. In the proposed method, a method is used to launch the operation to create a map. The created feature map is stable against deformation, transition, scaling, direction and Dilation in wild images. Group-Face and TSKinFace databases are used for simulation. In order to evaluate the evaluation of the proposed method, average recall of 94.1, precision 94.6, accuracy 94.7, specificity 93.8, and finally F_Measure 95.0 were used. The superiority of the proposed method in all comparisons shows the effectiveness of the proposed method in diagnosing kinship.