The performance of automatic fingerprint identification system relies heavily on the quality of
fingerprint images. Fingerprint enhancement is essential to ensure the robustness of …

Iris feature extraction is the crucial stage of the whole iris recognition process for personal
identification. A brief survey is made firstly in this paper on the methods that feasibly …

Eyes are considered to be the most sensitive and important organ for human being. Thus,
any eye disorder will affect the patient in all aspects of life. Cataract is one of those eye …

Iris is the annular region of the eye bounded by the pupil and the sclera (white of the eye) on
either side. The iris has many interlacing features such as stripes, freckles, coronas, radial …

Image denoising involves processing of the image data to produce a visually high quality
image. The denoising algorithms may be classified into two categories, spatial filtering …

This paper presents a new feature extraction method for iris recognition. Since two
dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform's …

This paper presents the information set which originates from a fuzzy set on applying the
Hanman-Anirban entropy function to represent the uncertainty. Each element of the …

Texture plays a crucial role in computer vision, providing valuable information about image
regions. Log Gabor filters that mimic the human eye's visual cortex are used as feature …

Image denoising involves processing of the image data to produce a visually high quality
image. The denoising algorithms may be classified into two categories, spatial filtering …

Iris segmentation is a critical stage in the whole iris recognition process. In this paper, a
procedure of iris segmentation is presented which was designed on the basis of the natural …