An Empirical Evaluation of the Local Texture Description Framework-Based Modified Local Directional Number Pattern with Various Classifiers for Face Recognition
Abstract:Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Local Texture Description Framework-based Modified Local Directional Number pattern (LTDF_MLDN),, and hand gesture detection [10]. However, in situations where the exact points are known, basic SVM models can be used [11]. Though the SVM dominates existing computational intel… Show more
“…On the other hand, Bhuvaneswari and Sivakumar [19] utilized a novel image classification procedure that utilized the particle filter framework (PFF)-based improvement strategy for satellite image classification. While Reena Rose et al [20] utilizes (SVM) to delineate contrasts in performance with respect to arranged issues in face recognition using six benchmark databases. In this paper, a classification of uncertain lesion has been investigated using features derived from run-length metrics with a new approach, involves calculating the Brazilian Archives of Biology and Technology.…”
in case of spatial domain based features is 93% whereas the average accuracy of the hybrid features system is 97%. Hence the proposed system can be used for the screening of thyroid nodules.
“…On the other hand, Bhuvaneswari and Sivakumar [19] utilized a novel image classification procedure that utilized the particle filter framework (PFF)-based improvement strategy for satellite image classification. While Reena Rose et al [20] utilizes (SVM) to delineate contrasts in performance with respect to arranged issues in face recognition using six benchmark databases. In this paper, a classification of uncertain lesion has been investigated using features derived from run-length metrics with a new approach, involves calculating the Brazilian Archives of Biology and Technology.…”
in case of spatial domain based features is 93% whereas the average accuracy of the hybrid features system is 97%. Hence the proposed system can be used for the screening of thyroid nodules.
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