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Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. However content-based Chinese document retrieval is difficult for the complexity of Chinese character structure and large class numbers. Few papers cover this issue, and this paper will focus on it. This paper presents a novel algorithm...
As an important member of biometric family, the vein patterns rely on the interior biological information of the body, and therefore, cannot be easily damaged, changed or falsified. In this paper, we present a new hand vein recognition system, which extracts and combines the dorsal, palm and finger vein for personal recognition. In the proposed system, the whole infrared frontal and back images of...
This paper tries to fill the gap between Traditional Chinese Pulse Diagnosis (TCPD) and Doppler diagnosis by applying digital signal analysis and pattern classification techniques to wrist radial arterial Doppler blood flow signals. Doppler blood flows signals (DBFS) of patients with cholecystitis, gastritis and healthy people are classified by L2-soft margin SVM and 5 linear classifiers using the...
Linear discriminant analysis (LDA)-based methods have been very successful in face and palmprint recognition. Recently, a class of post-processing approaches has been proposed to improve the recognition performance of LDA in face recognition. In-depth analysis, however, has not been presented to reveal the effectiveness of the post-processing approach. In this paper, we first investigate the rationale...
In Traditional Chinese Medicine (TCM) education field, the teaching of tongue diagnostics is facing the problem of using abstract or non-quantitative notions. In this paper, a computer aided education tool for TCM, tongue diagnosis system (TDS) is described. By using TDS, the diagnosis features are processed in quantitative manner, and the diagnosis reasoning is objective. The system enables performing...
The purkinje fiber network (PFN) is a very important conduction system in the endocardial surface of the ventricle, whose structure is crucial in ventricular physiopathology. Traditional medical imaging methods, such as magnetic resonance imaging (MRI) or computed tomography (CT), however, fail to reveal the detailed PFN information. An alternative is to model PFN as idealized self-similar fractal...
Petechia Spot ranks itself among the most significant pathological features utilized in the practice of the Tongue Diagnosis because it can reveal the existence of tiny hemorrhage in some organ inside the body. In this paper, an automated feature extraction method for recognition of Petechia Spot in tongue image is proposed employing marker-based watershed transform and morphological filter. An efficient...
Information security is becoming increasingly important in our information driven society. Cryptography is one of the most effective ways to enhance information security. Biometrics based cryptographic key generation techniques, in which biometric features are used to generate cryptographic keys, have been developed to overcome the shortages of the traditional cryptographic methods. An essential issue...
Petechia Dot ranks itself among the most significant pathological features utilized in the practice of the Tongue Diagnosis because it can reveal the existence of tiny hemorrhage in some organ inside the body. In this paper, a feature extraction method aiming for recognition of the Petechia Dot in tongue image is proposed employing graylevel-height based thresholding, Top-hat high-pass filtering,...
In this paper a feature extraction method based on Hilbert-Huang transform (HHT) is proposed in order to investigate the relationship between Doppler ultrasound blood flow signal (DUBFS) of wrist radial artery and the pathological changes of internal organs of human body. Two kinds of empirical model decomposition (EMD) based de-noising methods were compared in data preprocessing progress, and finally...
Biometric cryptography is a technique using biometric features to encrypt the data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptographic algorithm based on the most accurate biometric feature -- iris. In this algorithm, a 256-dimension textural feature vector is extracted from the preprocessed...
This paper presents a novel approach of palmprint authentication based on the directional gaussian derivative filters. In this approach, the palmprint image is firstly filtered using some directional Gaussian derivative filters in different directions. Then the orientation and the phase of each pixel of the palmprint image are extracted to form a feature. In the matching phase, the Hamming distance...
Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on palmprint features. In this system, the palmprint features, called DoG code, are extracted using Gaussian derivative filters. Then the Reed-Solomon...
Coding-based method, which encodes the responses of a bank of filters into bitwise features, has been very successful in palmprint representation and matching. Palmprints, however, are typically multiscale features, where the palm lines can be represented at a higher scale while the wrinkles at a lower scale. In this work, we present a mutliscale competitive code method for efficient palmprint representation...
Coding based methods are among the most promising palmprint recognition methods. As one representative coding method, the competitive code first convolves the palmprint image with a bank of Gabor filters with different orientations and then encodes the dominant orientation into its bitwise representation. Despite its effectiveness, few investigations have been given to study the influence of the number...
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding based methods have been very successful since of its simplicity, high precision, small size of feature and rapidness for both feature extraction and matching. Several filters, such as Gabor and Gaussian, and coding schemes,...
Characteristics of tongue pose the most important information for tongue diagnosis. So far, extensive studies have been made on extracting tongue surface features. Meanwhile, the sublingual vein diagnosis, one important part of tongue diagnosis, has received increasing attention. In this paper, a novel image acquisition device specially designed for capturing sublingual vein images is introduced....
Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on the most accurate biometric feature - iris. In encryption phase, a quantified 256-dimension textural feature vector is firstly extracted from the...
Securing information is a key issue in the field of network security and cryptography is one of the most effective ways to enhance information security. Biometric cryptography is a technique using biometric features to encrypt the data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem...
Doppler ultrasound blood flow signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of traditional Chinese medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery...
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