Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing me...

The goal of multi-image classification is to identify and label "similar regions" within a scene. The ability to correctly classify a remotely sensed multi-image of a scene is affected by the ability of the classification process to adequately compensate for the effects of atmospheric variations and sensor anomalies. Better classification may be obtained if the multi-image is preprocessed befor...

In order to utilize complementary imaging techniques to supply higher resolution data for fusion with secondary ion mass spectrometry (SIMS) chemical images, there are a number of aspects that, if not given proper consideration, could produce results which are easy to misinterpret. One of the most critical aspects is that the two input images must be of the same exact analysis area. With the de...

Face color information can play an important role in face recognition (FR) and it can be used to considerably improve FR performance obtained using only grayscale images. The color-based FR methods involve a preprocessing step where a color image is converted into either a monochromatic image or an image having a different color representation. In practical FR systems, the recording or transmis...

-------------------------------------------------------------------ABSTRACT--------------------------------------------------------------Fingerprint recognition is a promising factor for the Biometric Identification and authentication process. The quality of the fingerprint is obtained by the noise free image. To get a noise-free fingerprint image, the preprocessing techniques are applied on im...

The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In ...

Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we prop...

White blood cells play a role in maintaining the immune system which consists of several types such as neutrophils, lymphocytes, monocytes, eosinophils and basophils. MobileNetV2 is one pretrained convolutional neural network (CNN) models that provides excellent advantages performance classifying images. In this research was conducted to find out how apply optimization hyperparameters impact im...

This work proposes a preprocessing method for image compression based on attribute filtering. This method is completely shape preserving and computationally cheap. Three filters were investigated, including one derived from the power filter of Evans and Young that removes even more perceptually unimportant information. The results from 22 images that were processed in various ways and compresse...