In this paper, the problem of face verification across illumination is addressed. In order to cope with different lighting conditions, a preprocessing step is applied to the face image so as to make it independent on the illumination conditions. The illuminant invariant representation of the image is obtained by first applying an anisotropic diffusion process to the original image (Gross and Br...

Color image preprocessing and segmentation has been widely acceptedas an important component of the image mining.In this paper, we have proposed the denoising concept.The method used for pre-processing the color image includes wavelet based segmentation which has the advantage of more efficiency, better quality and accuracy of image. The preprocessing method wavelet transforming has the advanta...

The palm vein is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palm vein technology works by identifying the vein patterns in an individual's palm. The key techniques of palm vein recognition can systematically described in five parts extracting region of interest (ROI), preprocessing to image, extracting palm vein pattern, extractin...

This paper represents a robust face recognition system. The proposed face recognition system consist is useful in forming an effective face recognition. Proposed methodovercomes the problem of multi collinearity and also give good results in case of small sample size (SSS) problem . In Image Gradient Regression Approach (IGRA), first in preprocessing stage image is transformed by normalizing gr...

Received Dec 21, 2016 Revised Apr 21, 2017 Accepted Jun 25, 2017 Edge detection is the process of segmenting an image by detecting discontinuities in brightness. Several standard segmentation methods have been widely used for edge detection. However, due to inherent quality of images, these methods prove ineffective if they are applied without any preprocessing. In this paper, an image pre-proc...

A focal plane array designed for real-time, general-purpose, image preprocessing is described. The analog charge-coupled device-based array operates in the charge domain and has sensing, storing, and computing capabilities. It captures the image data and performs local neighborhood operations. The array is digitally programmable and various image preprocessing tasks can be implemented. It uses ...

The detection of embedded object from ground penetrating radar GPR imagery is our goal. The GPR image is a cross sectional slices. The embedded objects are metal and/or plastic type. In many fields demand for visualizing objects scanned as cross sectional slices is growing. This research has many real world applications, such as robotic environments, medicine, remote sensing, inspection of indu...

This paper represents a robust face recognition system. The proposed face recognition system consist is useful in forming an effective face recognition. Proposed method overcomes the problem of multi collinearity and also give good results in case of small sample size (SSS) problem . In Image Gradient Regression Approach (IGRA), first in preprocessing stage image is transformed by normalizing g...

This paper presents a document image processing system implemented on a set of parallel processors. A preprocessing stage is first used to correct skew from scanned document images. The corrected image is segmented and labelled in a two-step Minimum Containing Rectangle (MCR) detection stage. Text Block Filtering (TBF) is then done heuristically and the filtered blocks are submitted to a Multi-...