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Fingerprint evidence is undoubtedly the most reliable and acceptable evidence till date in the court of law. Fingerprints are obtained at the site of crime and in many old monuments and in excavated things. Estimating the gender of fingerprints is an emerging field and many methods using the fingerprint physical features like the ridge count and the ridge thickness have been used so far. Due to the...
Gender classification is the most challenging task in forensic investigation. In this paper, a new approach to estimate gender by multiresolutional analysis of fingerprints is proposed. Discrete Wavelet Transform (DWT) is used to analyze the fingerprints in the frequency domain. The classification task is modeled by gaussian mixtures. DWT coefficients are used as features and only dominant features...
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...
The Fingerprint is used to authenticate a person for multiple applications. In this paper, we propose Fingerprint Verification Based on Dual Transformation (FVDT). The Fingerprint image size of 300∗480 is segmented into four cells of each size 150∗240. The DCT is applied on each cell to convert from spatial domain to frequency domain. One level DWT is applied on DCT coefficients to derive four sub...
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...
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...
In this paper, a novel color image retrieval method based on the regions of interest (ROI) is presented. The key technique involves the extraction of ROI, the description of image feature and the characteristic matching algorithm. To effectively extract ROI, the color domains were combined with the HSV space, which fits the human visual perception characteristic, and then the image was transformed...
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...
A novel digital forensics tool is developed by combining wavelet invariant with spatial moments. A forensic printed circuit board image matching system is presented that is capable of probing a large database of digital images of circuit boards and compare them for similarity to provide investigation leads for electronic crimes digital forensic science investigations. The developed system has been...
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...
In recent years, medical image fusion is extensively used to help doctors improve the accuracy of medical diagnosis by combining multimodality images acquired under different imaging conditions into a single one. Most of the previous methods aim at attaining information as many as possible from source images. However, some of the exacted information is not necessary or useful for medical diagnosis...
In the palmprint recognition application utilizing more information other than principle lines or minutiae is much helpful. In this paper we proposed discrete cosine transform (DCT) based feature vector for palmprint representation and matching and compared with DFT and wavelet transform. Here the central part of the palmprint image of size 128 times 128 is resized to the size of 64 times 64 and divided...
In this paper, authors have proposed a novel approach of feature extraction of iris image using multi-directional wavelets obtained by combination of 2D Dual Tree Rotated Complex Wavelet Filters (RCWF) and 2D Dual Trace Complex wavelet Transform(CWT). This method provide features in 12 directions against 3 and 6 directions in DWT and CWT respectively. Iris features are obtained by computing energies...
Mosaic block is easily occurred in the TV signals, which will cause the degraded video. In this paper, we propose an automatic degraded video detection approach based on support vector machine and template matching to detecting mosaic block in video. We develop a detection algorithm based on a cascade of processing steps as follows. First, we use DWT to remove the vertical high frequency of a frame...
In the fingerprint recognition application utilizing more information other than minutiae is much helpful. We present here a fingerprint matching scheme based on transform features and their comparison. The technique described here obviates the need for extracting minutiae points to match fingerprint images. The proposed scheme uses Discrete Cosine Transform (DCT), Fast Fourier Transform (FFT) and...
This paper proposed a new steganalysis scheme of LSB-matching steganography based on statistical moments of the DFT of histogram of multi-level wavelet subbands. Before deriving these wavelet subbands a pre-processing apply to images under the test. The pre-processing contains removing some most significant bit planes. Then we decompose the image using three-level Haar discrete wavelet transform (DWT)...
This paper presents a new vehicle's shape representation, which can describe its shape features. An algorithm called transformation-ring-projection (TRP), which is usually used in the recognition of characters in a binary image, is now applied to obtain multiple one-dimension patterns of vehicle shape. Firstly, in order to acquire high classification accuracy of vehicle types, we apply transformations-semi-ring-projection...
With the pace of increasing online transactions and communication, the demand for security and privacy increases. To protect confidential information and to authenticate people electronically, several solutions already introduced. Traditional biometric systems that are based on single biometric usually suffer from problems like impostorspsila attack or hacking, unacceptable error rates. To improve...
A multi-resolution technique for matching a stereo pair of images based on translation invariant discrete multi-wavelet transform is presented. The technique uses the well known coarse to fine strategy, involving the calculation of matching points at the coarsest level with consequent refinement up to the finest level. Vector coefficients of the wavelet transform modulus are used as matching features,...
In this paper, a new ROI based color image retrieval is proposed. Firstly, the ROI are extracted in DWT domain by using the human visual characteristic and K-mean clustering. Secondly, the ROI is segmented into subregions, and the ROI features are extracted from the subregions (the dominant color and its percentage is used for color feature, the pixel distribution in the subregion is used for shape...
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