• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.331-332
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• 2006

To enhance security and privacy in biometrics, changeable (or cancelable) biometrics have recently been introduced. The idea is to transform a biometric signal or feature into a new one for enrollment and matching. In this paper, we proposed changeable biometrics for face recognition using on PCA based approach. PCA coefficient vector extracted from an input face image. The vector is scrambled randomly and removed. When a transformed template is compromised, it is replaced by a new scrambling rule. In our experiment, we compared the performance between when PCA coefficient vectors are used for verification and when the transformed coefficient vectors are used for verification.

• 대한전기학회논문지:전력기술부문A
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• 제48권1호
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• pp.68-75
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• 1999

Machine recognition of faces from still and video images is emerging as an active research area spanning several disciplines such as image processing, pattern recognition, computer vision and neural networks. In addition, human face identification has numerous applications such as human interface based systems and real-time video systems of surveillance and security. In this paper, we propose an algorithm that can identify a particular individual face. We consider human face identification system in color space, which hasn't often considered in conventional in conventional methods. In order to make the algorithm insensitive to luminance, we convert the conventional RGB coordinates into normalized CIE coordinates. The normalized-CIE-based facial images are KL-transformed. The transformed data are used as the input of multi-layered neural network and the network are trained using error-backpropagation methods. Finally, we verify the system performance of the proposed algorithm by experiments.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.971-976
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• 2000

In this paper a new method for head gesture recognition is proposed. A the first stage, face image data are transformed into low dimensional vectors by principal component analysis (PCA), which utilizes the high correlation between face pose images. The a self organization map(SM) is trained by the transformed face vectors, in such a that the nodes at similar locations respond to similar poses. A sequence of poses which comprises each model gesture goes through PCA and SOM, and the result is stored in the database. At the recognition stage any sequence of frames goes through the PCA and SOM, and the result is compared with the model gesture stored in the database. To improve robustness of classification, probabilistic relaxation labeling(PRL) is used, which utilizes the contextural information imbedded in the adjacent poses.

• Journal of information and communication convergence engineering
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• 제9권2호
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• pp.212-216
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• 2011

Digital watermarking has gained importance in recent years in copyright protection and multimedia. This paper proposes a secure and novel watermarking system based on complemented Maximum Length Cellular Automata (MLCA) and Two-Dimension Cellular Automata Transform (2D CAT). In this watermarking scheme, the original watermark is first encrypted by complemented MLCA with the private keys, and then the encrypted watermark is embedded into the CAT domain of the cover image, at last use the inverse CAT for the transformed image, the watermarked image is obtained. Experiment results show that this new method is more secure and provides robust performance against watermarking attacks.

• 한국항해학회지
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• 제21권1호
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• pp.119-128
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• 1997

Nowadays, many satellites regularly produce digital multispectral images of the earth's surface. Multispectral images may be displayed as color pictures by selecting three components for assignment to the primary colors. It is desired to enhance these images to generate a display picture that are representativde of their features. in this paper, a false color image processing algorithm is proposed for the purpose of enchancement of the multispectral images based on the human perception. The mean of each primary component is transformed to equalo. Intensity and saturation are enhanced by modified piecewise linear contrast strectching and saturation enhancement method. The proposed method has been successfully applied the LANDSAT TM image and shows good enhancement.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2006-2009
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• 2005

This paper presents a method for registering images using phase correlation technique in fourier domain, hough transform and multi-resolution wavelet. To register images, source and input images are transformed to wavelet domain. An angular transition can be obtained by applying hough transform technique followed by phase correlation. Then we apply phase correlation technique to find x-axis and y-axis transition. We apply wavelet transform to reduce processing time and also use its coefficients as edge information instead of canny detector. With multi-resolution property of wavelet transform, registration time can be greatly reduced. After we get all transition parameters, we transform the input images according to these parameters. Then, we compose and blend all images into a new large image with details of all source images. From our experiment, we can find the accurate transition both x-y translation and angular transition with less error.

• 대한가정학회지
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• 제48권3호
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• pp.125-134
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• 2010

The purpose of this study was to analyze the characteristics and images of colors in the stewardess's uniforms. For this study, 530 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed into H V/C and the attributes of colors and tones were analyzed. The color images were analyzed with the color image scales of IRI and Shigenobu Kobayashi. As a results, purple-blue(21.7%), neutral(20.9%), red(17.9%) and yellow(10.8%) were found to be the most frequently used colors. In the tone analysis, vivid tone(18.7%) occupied high frequency and the next orders were white(17.4%), dark grayish(12.8%), light(8.5%), dark(8.1%). The color images were focused on dynamic, modern, casual, gorgeous, classic, elegance images in the color image scales of IRI and Kobayashi.

• 대한전자공학회논문지SP
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• 제39권4호
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• pp.408-417
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• 2002

Gabor 코사인과 사인 함수는 인간시각 필터를 설명하기 위해서 많이 사용된다. 이 함수들로 영상주파수 성분을 국부적으로 표현하는 새로운 방법을 본 논문에서 제안한다. 직류 맥류와 계단입력에 대한 사이드 로브의 강도에 기초하여 기저함수의 변수들을 선택한다. Gabor 코사인과 사인으로 구성되는 결과적인 변환에 대해서 결합유효폭을 계산하고, 한정된 변환 계수만으로 영상을 복원하여 기존의 방법과 비교 검토한다. 제안한 변환이 DGT와 DCT보다 더 좋은 성능 결과를 나타낸다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.465-467
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• 1992

This paper shows 3D vision system based on halftone image analysis. Any halftone image has its own surface vector normal to surface patch. To classily the given 3D images, all the patch on 3D object are transformed to black/white halftone. First we extract the general learning patterns which represents required slopes and their attributes. And next we propose 3D segmentation by searching intensity, slope and density. Artificial neural network is found to be very suitable in this approach, because it has powerful learning quality and noise tolerant. In this study, 3D shape reconstruct using pyramidian model. Our results are evaluated to enhance the quality.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(2)
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• pp.63-66
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• 2001

In this paper a binary image encryption technique and decryption system based on a joint transform correlator (JTC) are Proposed. In this method, a Fourier transform of the encrypted image is used as the encrypted data and a Fourier transform of the random phase is used as the key code. The original binary image can be reconstructed on a square law device, such as a CCD camera after the joint input is inverse Fourier transformed. The proposed encryption technique does not suffer from strong auto-correlation terms appearing in the output plane. Based on computer simulations, the proposed encryption technique and decoding system were demonstrated as adequate for optical security applications.