Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features

نویسندگان

  • Naeem Qaiser
  • Mutawarra Hussain
  • Amir Hussain
  • Nadeem Qaiser
چکیده

Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analysis is used to show that the discrimination effectiveness of the features increases as a result of the proposed fusion. Preliminary simulation results have been validated experimentally through the classification and segmentation of real texture images. Keywords—Moment based texture features, Gabor energy features, Texture classification, Fisher’s criterion Texture Segmentation, Fusion

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiple local feature representations and their fusion based on an SVR model for iris recognition using optimized Gabor filters

Gabor descriptors have been widely used in iris texture representations. However, fixed basic Gabor functions cannot match the changing nature of diverse iris datasets. Furthermore, a single form of iris feature cannot overcome difficulties in iris recognition, such as illumination variations, environmental conditions, and device variations. This paper provides multiple local feature representa...

متن کامل

Hand Gesture Recognition using Gabor and Radon Transform with Invariant Moment Features

Abstract: In this article we present problem recognizing gestures and signs executed by hands. Gesture recognition is the process by which gestures formed by a user interact with the computer or is the element of the special signs language to convey meaning.We propose a methods for the recognition of hand gestures using Gabor wavelets (GW ), Radon transform (RT ) and texture features for gestur...

متن کامل

Palmprint Recognition Using PCA and Weighted Feature Level Fusion of 2D–Gabor and Log-Gabor Features

Palmprint biometric technology is most accurate and reliable, which has acquired good impact over the remaining biometric technologies. Palmprint contains various features like minutiae points, wrinkles, palm lines and texture, etc. A Number of line based approaches, subspace based approaches and texture based methods for extracting features from Palmprint have been considered and studied thoro...

متن کامل

A Content Based Feature Combination Method for Face Recognition

In the last few years, Content Based Image Retrieval (CBIR) system, where images are searched based on their visual contents instead of annotated texts, has drawn enormous attention of researchers because of its growing demand from real world applications. According to many, biometric traits recognition is one of the most potential applications of CBIR. However, very few works have been publish...

متن کامل

Fusion of Gabor Filter and Co-occurrence Probability Features for Texture Recognition

This paper explores a design-based method to fuse Gabor filter features and co-occurrence probability features for improved texture recognition. The fused feature set utilizes both the Gabor filter’s capability of accurately capturing lower frequency texture information and the co-occurrence probability’s capability in texture information relevant to higher frequency components. Fisher linear d...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008