Vehicle Classification under Cluttered Background and Mild Occlusion Using Zernike Features

Shoeprint retrieval: Core point alignment for pattern comparison

“…Zernike moments have been widely applied in the fields of image processing and pattern recognition, such as object recognition [17][18][19], shape matching [20,21], image watermarking [22][23][24], image retrieval [25,26], signature authentication [27], and so on. Zernike moments are utilized in the various applications because the Zernike basis function satisfies the orthogonal property [28,29], implying that no redundant information overlapped between the moments [30].…”

Hybrid Features based on Zernike Moments and Single Value Decomposition (SVD) for Vehicle Classification System

“…Vehicle identification and classification are necessary components in an artificially intelligent traffic monitoring system. Vehicle identification plays a major role in applications such as vehicle security system, traffic monitoring system, etc [1][2][3]. It is expected that these artificially intelligent traffic monitoring system venture onto the street of the world, thus requiring identification and classification of car objects commonly found on the road side.…”

“…The sizes of the images are uniform with the dimension 100x40 pixels. The proposed framework consists of 10 Squared Blocks of size 20x20 each.Thirty six zernike features are extracted from each block as mentioned in the previous section using Equation(1) to Equation(5). The zernike features are calculated from each squared single block of the sub-image.…”