Recognition of Dry and Blurred Fingerprint Using Local Entropy Thresholding Method
نویسندگان
چکیده
Dry fingerprint has blurred image, because of overlapping of valleys, singular point to the fingertip and ridges. By using local entropy thresholding method, we extract the fingerprint images. This method is compared to canny filter images, sobel filter images and otsu algorithm images. This technique is used to enhance the contrast between valleys and ridges of the poor, medium and best image features. The experimental results gives the enhancement of the proposed method to get high performance compared with existing techniques.
منابع مشابه
Local Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
متن کاملAutomatic Face Recognition via Local Directional Patterns
Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...
متن کاملA Comparative Analysis on Fingerprint Binarization Techniques
The robustness of a fingerprint authentication system depend on the quality of the binarized fingerprint image. Since the uniqueness of a fingerprint image is determined by the minutiae points which are extracted from a binarized fingerprint image. A very robust binarization process is therefore essential to get the correct set of minutiae points. Thresholding is an effective tool for binarizat...
متن کاملA thresholding method based on two-dimensional Renyi's entropy
In this paper, we present a new thresholding technique based on two-dimensional Renyi’s entropy. The two-dimensional Renyi’s entropy was obtained from the two-dimensional histogram which was determined by using the gray value of the pixels and the local average gray value of the pixels. This new method extends a method due to Sahoo et al. (Pattern Recognition 30 (1997) 71) and includes a previo...
متن کاملBinarization and Thinning of Fingerprint Images by Pipelining
Two critical steps in fingerprint recognition are binarization and thinning of the image. The need for real time processing motivates us to select local adaptive thresholding approach for the binarization step. We introduce a new hardware for this purpose based on pipeline architecture. We propose a formula for selecting an optimal block size for the thresholding purpose. We also present in thi...
متن کامل