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Lung cancer is one of the most common types of cancer all over the world. The main cause of lung cancer is smoking. Accurate detection of lung cancer can increase the survival rate from cancer. A good lung cancer detection system will detect the tumor accurately. Computed Tomography (CT) images are usually used for detecting the cancer. The different stages in a Computer Aided Lung cancer detection...
In this paper, a novel explicit image filter, called Guided Gabor filter, is proposed to extract the finger vein pattern without any segmentation processing, and lower performance reduction for poor quality images which result from low contrast, illumination, or noise effects, etc. The proposed filter is contributed for finger vein enhancement, noise reduction, and haze removal without being affected...
The deduction of the fingerprint singular points is the most challenging task, it has been used for fingerprint classification and as reference points for minutiae matching and alignment. In this paper, a novel algorithm is proposed for singular points detection, which is based on the orientation reliability. The algorithm starts by enhancing the fingerprint image using the Gabor filter, followed...
Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition applications. In this paper we introduce an approach that extracts simultaneously orientation and frequency of local ridge in the fingerprint image by Gabor wavelet filter bank and use them in Gabor Filtering of image. Furthermore, we describes a robust approach to fingerprint image enhancement, which is based...
In this paper, a fingerprint verification method is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to missing some minutiae, non-linear distortions, and rotation and distortion variations. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extract a 129 ?? 129 block, making...
Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition application. There are many authors proposed the different fingerprint enhancement methods. Most present well-known methods are base on Gabor filters. However, the present proposed Gabor filters almost can not be efficient in some cases such as: the local orientation changes rapidly and the fingerprint image...
Accurate reference point detection is crucial for features extraction to improve the performance of fingerprint recognition system. Many reference-point detection algorithms work well in good-quality fingerprints, however, most fail to correctly locate the reference point in poor-quality fingerprints with cracks and scars, dry skin, or poor ridge-and-valley contrast. In this paper, we propose a method...
In fingerprint recognition system, fingerprint feature extraction algorithm requires good quality fingerprint images to produce good results. Therefore, one step in the preprocessing stage is image enhancement to improve the quality of poor fingerprint image, so the minutiae points can be detected with good results. In this paper, we present how this enhancement process in simple minutiae detection...
Fingerprint image enhancement is a preprocessing step in fingerprint recognition applications. In this paper, an improved algorithm for enhancement of fingerprint image is proposed. The proposed method includes additional adaptive filtering and segmentation steps to the previous fingerprint image enhancement methods based on Gabor filter. The adaptive filtering step enhances the edges of the fingerprints...
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