• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.48-52
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• 2006

The palm print recognition is the most reliable authentication method in the biometrics. In this paper, using the efficient segmentation of the palm print region we propose the method of enabling the palm print recognition as the same method applicable to the finger print recognition. To achieve this, we propose the image processing procedures of the palm print segmentation and the feature extraction. We compare the matching result after extracting the features for the finger print and the palm print.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.300-302
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• 2022

Palm vein identification has attracted attention due to its distinct characteristics and excellent recognition accuracy. However, many contactless palm vein identification systems suffer from the issue of having low-quality palm images, resulting in degradation of recognition accuracy. This paper proposes the use of U-Net architecture to correctly segment the vascular blood vessel from palm images. Attention gate mechanism and residual block are also utilized to effectively learn the crucial features of a specific segmentation task. The experiments were conducted on CASIA dataset. Hessian-based Jerman filtering method is applied to label the palm vein patterns from the original images, then the network is trained to segment the palm vein features from the background noise. The proposed method has obtained 96.24 IoU coefficient and 98.09 dice coefficient.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11b
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• pp.1269-1272
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• 2002

현재 세계적인 이동통신 업체들은 대부분 XHTML Basic 을 수용하여 새로운 브라우저들은 WAP 프로토콜을 배제하고 TCP/IP 기반의 통신을 지원하는 경향을 나타내고 있다. 본 논문에서는 이러한 기술 추세를 반영하여 WAP 2.0 을 지원하는 PalmOS 용 XHTML 브라우저를 개발하였다. 본 브라우저의 특성은 이식성을 높이면서 휴대용 단말기의 자원 제약을 극복하기 위하여 이미지 변환 프락시를 활용하는 방식을 채택한 점이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.243-248
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• 2011

In this paper, we propose a new method to extract palm lines and read it with simple techniques from one photo. We use morphological information and 8-directional contour tracking algorithm. From the digitalized image, we transform original RGB information to YCbCr color model which is less sensitive to the brightness information. The palm region is extracted by simple threshold as Y:65~255, Cb:25~255, Cr:130~255 of skin color. Noise removal process is then followed with morphological information of the palm such that the palm area has more than quarter of the pixels and the rate of width vs height is more than 2:1 and 8-directional contour tracking algorithm. Then, the stretching algorithm and Sobel mask are applied to extract edges. Another morphological information that the meaningful edges(palm lines) have between 10 and 20 pixels is used to exclude noise edges and boundary lines of the hand from block binarized image. Main palm lines are extracted then by labeling method. This algorithm is quite effective even reading the palm from a photographed by a mobile phone, which suggests that this method could be used in various applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2429-2434
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• 2010

In this paper, we propose a method to extract and analyze palm line with fuzzy method. In order to extract the palm part, we transform the original RGB color space to YCbCr color space and extract sin colors ranging Y:65-255, Cb:25-255, Cr:130-255 and use it as a threshold. Possible noise is removed by 8-directional contour tracking algorithm and morphological characteristic of the palm. Then the edge is extracted from that noise-free image by stretching method and sobel mask Then the fuzzy binarization algorithm is applied to remove any minute noise so that we have only the palm lines and the boundary of the hand. Since the palm line reading is done with major lines, we use the morphological characteristics of the analyzable palm lines and fuzzy inference rules. Experiment verifies that the proposed method is better in visibility and thus more analyzable in palm reading than the old method.

• Journal of Broadcast Engineering
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• v.23 no.3
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• pp.395-402
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• 2018

Human palms contain discriminative features for proving the identity of each person. In this paper, we present a novel method for user verification based on palmprints and palm veins. Specifically, the region of interest (ROI) is first determined to be forced to include the maximum amount of information with respect to underlying structures of a given palm image. The extracted ROI is subsequently enhanced by directional patterns and statistical characteristics of intensities. For multispectral palm images, each of convolutional neural networks (CNNs) is independently trained. In a spirit of ensemble, we finally combine network outputs to compute the probability of a given ROI image for determining the identity. Based on various experiments, we confirm that the proposed ensemble method is effective for user verification with palmprints and palm veins.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.05a
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• pp.327-332
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• 1998

최근 들어 수요와 공급이 급격히 증가하고 있는 PDA(Personal Digital Assistants)의 운영체제는 기존에 많이 연구되어 왔던 운영체제 환경과는 하드웨어의 특성상 메모리 관리나 파일 시스템 등에서 많은 차이점을 보인다. 예를 들어 작은 메모리 용량과 하드디스크 없이 메인 메모리만을 사용해서 모든 데이터를 저장해야 하므로 이를 얼마나 효율적으로 관리해야 하는지가 문제점이 된다. 여기서 우리는 PDA 중에서 비교적 많은 사용자 중을 갖고 있는 USRobotics 사의 PalmPilot [1]을 대상으로 도킹 데스크탑을 이용한 swapping 방법을 모색해 보았다. 기존의 PalmPilot은 그림 1과 같이 데스크탑과 연결하여 자료의 백업과 동기화 작업만을 수행하였다. 하지만 이 순간만큼은 Palmpilot도 일반 데스크탑과 같이 대용량의 하드디스크를 사용할 수 있는 기회가 생기므로 이 때를 잘 이용한다면 사용자는 좀 더 커다란 데이터를 사용할 수 있게 될 것이다.

• Journal of Ocean Engineering and Technology
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• v.26 no.2
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• pp.58-67
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• 2012

Recently, both the integration of product data during design and production and the effective management of information during full lifecycles have attracted attention from shipyards and ship owners as a result of recycling regulations and a desire for efficient operations. Generally, PLM (Product Lifecycle Management) supports a collaborative environment during the BOL (Beginning of Life) stage, while an ALM (Asset Lifecycle Management) system provides all of the information required to maintain, overhaul, and discard/recycle all or part of a vessel during the MOL (Middle of Life) and EOL (End of Life) stages. The main goal of this paper is to suggest the fundamental configuration of a PALM (Product Asset Lifecylce Management) system and a method that can be used to utilize a marine vessel's lifecycle information during the MOL, emphasizing the maintenance information during the middle of life. The authors also suggest a PALM system configuration in which lifecycle information can be collected by a PEID (Product Embedded Information Device) integrating a microcomputer, sensors, and wireless network communication. Through a prototype PALM system, the suggested features and PALM system configuration are implemented.

• The Transactions of the Korea Information Processing Society
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• v.1 no.1
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• pp.105-113
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• 1994

This paper introduces the Parallel Advanced Loosely coupled Multiprocessor (PALM) architecture, which is based on HCH(m,p), where m is number of links per a communication processor (CP) and p is the number of application processors (APs) connected to the CP. communication links between a pair of CPs and/or between a CP and an AP, are made of dual-Port RAMs, which provide fast and reliable word-parallel communication between processors. Among the wide spectrum of HCH networks, HCH(m,2) is also known to be a cost optimal topology, such that HCH(m,2) consists of the largest number of APs retaining the minimal number of CPs and communication links. We also implement a testbed based on HCH(2,2). The experiment result shows that the small communication/computation ratio of the PALM system would realize fine-grain parallelism on message-passing MIMD systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.994-999
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• 2014

Nowadays we use biometrics such as face, fingerprint or palm print for registration and authentication with smart phone. When use camera function of smart phone, normally they overlay a specific image on camera preview as guideline and induce user to take picture uniformly. In this paper, use palm print for authentication factor with smart phone, we propose a new guideline and show the result about user experiment in terms of authentication success ratio.