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인공해마 알고리즘을 이용한 문서인식 자동화 시스템의 구현
추정호(Jung-Ho Chu),권기항(Keehang Kwon),강대성(Dae-Seong Kang) 한국정보기술학회 2008 한국정보기술학회논문지 Vol.6 No.2
In this paper, we propose automatic paper recognition system for office automation. The recognized process is recognized the character using artificial hippocampus algorithm. Proposed system will be able to work in bank, school, administration, etc. The machine with built-in camera is received paper and recognized the character in paper. This central process control module connect with paper management server computer. This computer display the recognized result and saves the record. The saved records will be able to apply in various application.
추정호(Jung-Ho Chu),강대성(Dae-Seong Kang) 한국정보기술학회 2008 한국정보기술학회논문지 Vol.6 No.3
Recently, the important of a personal identification is increasing according to expansion using each on-line commercial transaction and personal ID-card. Although a personal ID-card embedded RFID tag is gradually increased, the way for a person's identification is deficiency. So we need automatic methods. Because RFID tag is very small storage capacity of memory, it needs effective feature extraction method to store personal biometrics information. We need new recognition method to compare each feature. In this paper, we studied the face verification system using artificial Hippocampus algorithm which can remodel the hippocampus neuron as a principle of a man's brain in engineering, then it can learn the feature vector of the face images very fast and construct the optimized feature each image. The system is composed of two parts mainly. One is feature extraction using PCA and LDA mixture algorithm and the other is artificial hippocampus algorithm and recognition simulation experiment confirm the each recognition rate, that is low-level quality image. The results of experiments, we can compare a feature extraction and learning method proposed in this paper of any other methods, and we can confirm that the proposed method is superior to the existing method.
추정호,강대성 동아대학교 공과대학부설 정보통신연구소 2007 情報技術硏究所論文誌 Vol.15 No.1
In this paper, we propose automatic paper recognition system for office automation. The recognized process is recognized the character using artificial hippocampus algorithm. Proposed system will be able to work in bank, school, administration, etc. The machine with built-in camera is received paper and recognized the character in paper. This central process control module connect with paper management server computer. This computer display the recognized result and saves the record. The saved records will be able to apply in various application.
얼굴인식 시스템을 위한 효과적인 인공해마 알고리즘 구현
추정호,강대성 동아대학교 정보기술연구소 2007 情報技術硏究所論文誌 Vol.14 No.2
In this paper, we propose the development of Artificial Hippocampus Algorithm(AHA) which remodels a principle of brain of hippocampus. Hippocampus takes charge auto-associative memory and controlling functions of long-term or short-term memory strengthening. We organize auto-associative memory based 4 steps system (EC, DG, CA3, and CA1) and improve speed of learning by addition of modulator to long-term memory learning. In hippocampus system, according to the 3 steps order, information applies statistical deviation on Dentate Gyrus region and is labeled to responsive pattern by adjustment of a good impression. In CA3 region, pattern is reorganized by auto-associative memory. In CA1 region, convergence of connection weight which is used long-term memory is learned fast a by neural network which is applied modulator. To measure performance of Artificial Hippocampus Algorithm, PCA(Principal Component Analysis) and LDA(Linear Discriminants Analysis) are applied to face images which are classified by pose, expression and picture quality. Next, we calculate feature vectors and learn by AHA. Finally, we confirm cognitive rate. The results of experiments, we can compare a proposed method of other methods, and we can confirm that the proposed method is superior to the existing method.