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Technological advances in digitization with a variety of image manipulation techniques enable the creation of printed documents illegally. Correspondingly, many researchers conduct studies in determining whether the document printed counterfeit or original. This study examines the several statistical feature sets from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform (DWT), Spatial...
This paper presents a unique Comparative Study of Features Fusion Techniques for Iris. In 1993, Daughman developed IrisCode and it is influenced many researchers to develop different Iris Recognition System using different techniques. Iris Features are extracted using existing techniques like 2D-FFT, DWC, LBP, PCA etc. More information is extracted by fusing multiple features. Feature Fusion is a...
Even digital content is widely used nowadays, printed documents are still ubiquitously accepted and circulated. Therefore, identifying the printed character source is essential for criminal investigations to authenticate the digital copies of the printed documents. This study carefully examines the important statistical features from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform...
The increase in intraocular pressure within the eye causes degradation of optic nerves which results in glaucoma. It is an eye disease in which no early symptoms will be detected until some vision loss has occurred. Therefore diagnosing of glaucoma is very essential to minimize the risk of vision loss. In this paper, the input retinal images are enhanced by using Principal Component Analysis and the...
Due to the advances of digital technology, digital contents are widely accepted all over the world. Since the criminal counterfeits and copyright infringement is still under study for the new digital media, there is an increasing need called digital forensics, which involves the collection and analysis of the original digital device, has become an important issue. This study offers a universal approach...
In this work a technique for cloud classification from MSG-SEVIRI (Meteosat Second Generation-Spinning Enhanced Visible and Infra-red Imager) imagery is presented. It is based on the segmentation of the multispectral images using local texture information. The goal is to study, how local texture measures, can distinguish different cloud genres, and to develop a system based on multiresolution analysis...
Fingerprint Recognition is one of the oldest and popular methods for person identification. There are two major approaches of fingerprint recognition namely image based and minutiae based. This paper presents an image based fingerprint recognition method. In this work first core point is detected and pre processing of image is done then transformation technique like Fast Fourier Transform (FFT), Discrete...
This paper presents a comparative study of different texture extraction methods for the automatic classification of the tear film lipid layer based on the categories enumerated by Guillon. From a photography of the eye, a region of interest is detected and its low-level features are extracted, generating a feature vector that describes it, to be finally classified in one of the target categories....
A new methodology to automatically extract features from mammograms is presented. The approach is based on a combination of the discrete wavelet transform and the Gabor filter, and it can be easily implemented in a breast cancer screening system. First, the two-dimensional discrete wavelet transform is employed to process the mammogram and obtain its HH high frequency sub-band image. Then, a Gabor...
This paper proposes a new method to estimate the dominant orientations of textures using Gabor filters, along with its modified version to fit the multi-orientation cases. The discrete wavelet transform is used as a feature extraction tool and nearest neighbor method as a classifier. The experiments are carried out on both Brodatz database and CUReT database. The result shows that our method is effective...
Reliability and accuracy in personal identification system is a dominant concern to the security world. Biometric has gained much attention in this subject recently. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies. This paper presents a novel biometric technique to automatic personal identification system using multispectral...
Image registration is an essential step in many image processing applications that involve multiple images for comparison, integration or analysis such as image fusion, image mosaics, image or scene change detection, and medical imaging. Image registration methods can be categorized into two major groups: the feature-based approach and the area-based approach. In area-based approach LPT was introduced...
This paper presents an algorithm to extract the region of interest (ROI) from the palm print image of the Hong Kong PolyU large-scale palm print database (version 2). Competitive coding method is used for feature extraction. Coding based methods are among the most promising palm print recognition methods because of their small feature size, fast matching speed, and high verification accuracy. Competitive...
In this paper, we propose a multimodal biometrics system that combines fingerprint and palmprint features to overcome several limitations of unimodal biometrics-such as the inability to tolerate noise, distorted data and etc.-and thus able to improve the performance of biometrics for personal verification. The quality of fingerprint and palmprint images are first enhanced using a series of pre-processing...
This paper presents an algorithm for fingerprint identification based on wavelet transform and Gabor features. Firstly, a center point area of the fingerprint is detected, then the image in this area is decomposed into different sub-images using wavelet transform, finally we extract Gabor features from these sub-images to generate feature vectors for matching. The experiment conducted over the four...
In order to investigate the performance of visual feature extraction method for automatic image annotation, three visual feature extraction methods, namely discrete cosine transform, Gabor transform and discrete wavelet transform, are studied in this paper. These three methods are used to extract low-level visual feature vectors from images in a given database separately, then these feature vectors...
Palmprint is one of the most reliable features in personal identification because of its stability and uniqueness. This paper proposed a new hierarchical palmprint recognition method. Firstly, a probability distribution template of major line is generated. Then dual tree complex wavelet is applied onto palmprint image to obtain texture feature. A hierarchical matching strategy is suggested which uses...
We propose a novel texture feature extraction technique based on coefficients' co-occurrence histogram of discrete wavelet frame transformed image, which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. It is not independently utilizing the information of each subband coefficient. The classification...
In this paper, authors have proposed a novel approach of feature extraction of iris images using combination of 2D Dual Tree Rotated Complex Wavelet Transform (RCWT) and 2D Dual Trace Complex Wavelet Transform(CWT). This method provides features in 12 directions against 3 and 6 directions in DWT and CWT respectively. Iris features are obtained by computing energies and standard deviation of detailed...
Gabor wavelets (GWs) have been commonly used for extracting local features for various applications, such as recognition, tracking, and edge detection. However, extracting the Gabor features is computationally intensive, so the features may be impractical for real-time applications. In this paper, we propose a set of simplified version of GWs (SGWs) and an efficient algorithm for extracting the features...
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