## 1 Introduction  
Whether human visual processing is dominated by holistic or analytic processing is a hot issue in the field of human cognition. Many researchers have investigated the influences of global and local features on visual perception. According to the hypothesis advocated by [PERSON] [1], people perceive a forest before seeing its trees; this assertion emphasizes the precedence of the global features. [PERSON] defined these effects as the \"global precedence effect\" (GPE) [2]. The GPE can be reduced or even reversed by factors such as task variables [3, 4], sparsity between local features [5], the position of local elements, and the saliency of the global form [6] and the visual angle [7], and the meaningfulness of the stimuli [8; 9]. Another remarkable aspect of global features is that human beings can understand the meaning of a complex novel scene very quickly, even when the image is blurred [10]. This quick recognition in a glance (about 200 ms) refers to the gist of the scene [11; 12]. Although local features in the blurred image are missing, observers can identify the semantic category of each image, inferred from the spatial relationships between regions or blobs of a particular size and aspect ratio [13]. This emphasizes that global features (the spatial arrangement of regions) precede the analysis of local details for scene and object recognition, particularly in images constituted by many element patterns [14; 15]. Other studies suggested that global and local processing can be influenced by several factors, such as training and viewing distance and prior knowledge. [PERSON] and [PERSON] [16] reported that global interference decreases with training, whereas local interference develops with training. [PERSON] et al. [17] noted that prior knowledge and viewing distance also affect global precedence in humans in tasks involving similarity selection. At any given moment, we can selectively attend to our environment at the component level through local processing or at the holistic level through global processing. During the process of visual perception, global and local features differently influence our attention and then affect our visual perception patterns and manners, for example searching and detecting eye-movements in scenes [18]. [PERSON] et al. [19] proposed a computational instantiation of a Bayesian model of attention, demonstrating the mandatory role of scene context for search tasks in real-world images. They suggested that searching eye-movements are influenced by local image features (saliency) and global context features. Additionally, [PERSON] and [PERSON] [20] compared the eye-movements of humans, maximum a posteriori (MAP), and idea searchers in tasks of visual search. Results demonstrated how humans actually select fixation locations in visual search. They also pointed out that eye-movements are directed toward locations with features similar to those of the target. Furthermore, [PERSON] et al. [21] investigated two kinds of eye-movement patterns in face recognition, holistic and analytic patterns. They also examined the link between eye-movement patterns and the engagement of global/local attention. Apparently, eye-movements are influenced by global and local features in visual perception. Similarity perception, as a very important aspect of visual perception, plays an essential role in scene and object recognition [22; 23]. It is regarded as one of the variables that affects global and local processing [24]. Therefore, visual perception manners and results are likely to be affected by global and local similarity. However, how global and local similarity affect human eye-movements when perceiving remains unknown and lacks intuitive data (i.e., eye-movement data) and corresponding quantitative analysis. Therefore, this paper seeks to answer two questions: (1) How do global and local features influence eye-movement patterns under similarity perception? (2) Are visual-similarity perception manners and results related to eye-movement patterns?