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Texture classification is an important and challenging factor in image processing system which refers to the process of partitioning a digital image into multiple constituent segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Artificial Neural Network (ANN) Based texture classification or Segmentation...
In this paper, improvements to non-local means (NLM) image denoising method is proposed to reduce the computational complexity. In the original NLM algorithm, neighborhood weightages are computed using the window similarity technique. The proposed technique replaces the window similarity by a modified multi-resolution based approach with much fewer comparisons rather than all pixels comparison. This...
Core point detection is a crucial task in fingerprint based biometric processing. In this paper, we propose a two-stage algorithm for core point detection in fingerprint images. The first stage determines the existence of core point region. The second stage determines the actual core point by ridge component identification followed by unwanted component elimination and core segment detection. To substantiate...
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