• The Journal of the Convergence on Culture Technology
• /
• v.4 no.4
• /
• pp.361-366
• /
• 2018

For each character constituting learning data, different fonts are added in pixel unit to create MASK, and then pixel values belonging to the MASK are divided into three groups. The experimental data are modified into skeletal forms, and then regional boundary operation is used to create a boundary that distinguishes the background region adjacent to the skeleton of the character from the background of the modified experimental data. Discordance values between the modified experimental data and the MASKs are calculated, and then the MASK with the minimum value is found. This MASK is selected as a finally recognized result for the given experiment data. The recognition algorithm using skeleton of the character and the regional boundary operation can easily extend the learning data set by adding new fonts to the given learning data, and also it is simple to implement, and high character recognition rate can be obtained.

• The Transactions of the Korea Information Processing Society
• /
• v.5 no.8
• /
• pp.2203-2212
• /
• 1998

본 논문에서는 정규화 과정을 통해 2차원 물체를 인식하는 방법을 제안하고자 한다. 이를 위해 우선 입력 영상에 톨이론을 적용하여 화상구조를 파악함으로써 임계치 선정없이 잡음 제거와 경계 추출을 행한다. 그 후 추출된 경계선에 Hough 변환을 이용하여 직선과 원을 추출하여 여기에 프리미티브의 안정성에 기초하여 물체를 이루는 프리미티브에 대한 분리를 행한다. 최종적으로 분리된 프리미티브들로부터 모양 정도를 계산하고 디지털화 과정을 통해 인식 과정을 수행한다. 끝으로 본 논문의 유용성을 실험에 의해 입증하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.3D
• /
• pp.519-525
• /
• 2006

The traditional area-based matching or efficient matching methods using epipolar geometry and height restriction of stereo images, which have a confined search space for image matching, have still some disadvantages such as mismatching and timeconsuming, especially in the dense metropolitan city that very high and similar buildings exist. To solve these problems, a new image matching method through building recognition has been presented. This paper described building recognition in color stereo images using edge and color information as a elementary study of new matching scheme. We introduce the modified Hausdorff distance for using edge information, and the modified color indexing with 3-D RGB histogram for using color information. Color information or edge information alone is not enough to find conjugate building pairs. For edge information only, building recognition rate shows 46.5%, for color information only, 7.1%. However, building recognition rate distinctly increase 78.5% when both information are combined.

• Proceedings of the Acoustical Society of Korea Conference
• /
• autumn
• /
• pp.361-364
• /
• 1999

한국어의 연속 음성 인식을 위하여 운율구 단위로 경계를 검출하는 연구가 진행되고 있다. 그 과정의 일부로서 본 연구에서는 여러 음향 특징들을 조합하여 연속음성에서 음절 경계의 검출하는 방법을 제시하였으며, 연속 음성으로부터 한국어 운율구인 강세구의 경계를 운율 특징만을 이용한 패턴 비교 방법을 이용하여 검출한 것과 비교 검토하였다. 그 결과, 패턴 비교 방법으로 검출한 강세구의 경계를 음절의 경계와 일치되도록 정렬해줄 필요가 있음을 알 수 있었다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.10d
• /
• pp.616-618
• /
• 2002

본 논문에서는 음성인식 성능을 높이기 위한 기본적 단계인 음성과 비음성 부분의 경계를 추출하는 음성 경계 추출 방법을 제안한다. 음성경계 추출을 위한 특징들로는 시간영역 분할 파라미터인 ZCR, MA를 사용하고 주파수 영역 분할 파라미터로 주파수 대역 파워 에너지 (Frequency band power energy), 포만트 계수 (Formant coefficient)를 사용하였고 각 파라미터들을 이용하여 음성 경계를 결정할 때 경험에 의해 임계치를 결정하는 단점을 보안하기 위해서 신경망을 이용한다. 신경망의 가중치와 임계치들은 지도 학습을 통해 최적화 되고, 학습을 통해 구성된 망을 음성과 비음성의 경계치 구분에 사용한다.

• Journal of KIISE:Software and Applications
• /
• v.37 no.6
• /
• pp.455-463
• /
• 2010

In this paper, we present an approach to sentence boundary detection for web documents that builds on statistical-based methods and uses rule-based correction. The proposed system uses the classification model learned offline using a training set of human-labeled web documents. The web documents have many word-spacing errors and frequently no punctuation mark that indicates the end of sentence boundary. As sentence boundary candidates, the proposed method considers every Ending Eomis as well as punctuation marks. We optimize engine performance by selecting the best feature, the best training data, and the best classification algorithm. For evaluation, we made two test sets; Set1 consisting of articles and blog documents and Set2 of web community documents. We use F-measure to compare results on a large variety of tasks, Detecting only periods as sentence boundary, our basis engine showed 96.5% in Set1 and 56.7% in Set2. We improved our basis engine by adapting features and the boundary search algorithm. For the final evaluation, we compared our adaptation engine with our basis engine in Set2. As a result, the adaptation engine obtained improvements over the basis engine by 39.6%. We proved the effectiveness of the proposed method in sentence boundary detection.

• Journal of KIISE:Software and Applications
• /
• v.28 no.9
• /
• pp.681-687
• /
• 2001

In order to raise a class discrimination power by combining multiple classifiers under the Bayesian decision theory, the upper bound of a Bayes error rate bounded by the conditional entropy of a class variable and decision variables obtained from training data samples should be minimized. Wang and Wong proposed a tree dependence first-order approximation scheme of a high order probability distribution composed of the class and multiple feature pattern variables for minimizing the upper bound of the Bayes error rate. This paper presents an extended high order product approximation scheme dealing with higher order dependency more than the first-order tree dependence, based on the minimization of the upper bound of the Bayes error rate. Multiple recognizers for unconstrained handwritten numerals from CENPARMI were combined by the proposed approximation scheme using the Bayesian formalism, and the high recognition rates were obtained by them.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.1
• /
• pp.1-5
• /
• 2003

In this paper, we realized a system that converts the character images of the printed Korean alphabet (Hangul) to the editable text documents by using the black and white CCD camera, We were able to abstract the contours information of the character which is based on the structural character by using the boundary tracing technique that is strong to the noise on the character recognition. By using the contours information, we recognized the horizontal vowels and vertical vowels of the character image and classify the character into the six patterns. After that, the character is divided to the unit of the consonant and vowel. The vowels are recognized by using the maximum length projection. The separated consonants are recognized by comparing the inputted pattern with the standard pattern that has the phase information of the boundary line change. We realized a system that the recognized characters are inputted to the word editor with the editable KS Hangul completion type code.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2005.05a
• /
• pp.273-278
• /
• 2005

전정색영상과 달리 컬러영상에서 개체를 추출할 경우 밴드별 분광특성을 이용하여 특정지물을 효과적으로 인식할 수 일고 밝기값만으로 구별해낼 수 없는 개체를 추출할 수 있는 장점이 있다. 본 연구에서는 컬러영상에서 지형지물을 추출하기 위해 컬러정보를 이용하여 경계를 추출하는 연구를 수행하기 위해 일반적으로 사용하는 RGB 색체계가 아닌 CIEL*Ch 색체계로 변환한 후 L*에서 경계를 추출하고 C, h값으로 특정지물을경계를 추출하는 기법으로 컬러영상의 경계를 추출하였다.

• Tribology and Lubricants
• /
• v.2 no.2
• /
• pp.5-11
• /
• 1986

일반적으로 마찰면은 유체윤활과 경계윤활과의 혼합潤滑영역을 거쳐서 경계윤활을 주체로 하는 領域으로 옮겨가는 가능성을 항상 지니고 있다. 거기에서는 점도뿐만 아니라, 油性이나 극압성 등이 윤활특성에 중요한 영향을 끼체게 된다. 따라서 그 영역에 있어서의 윤활제의 역할을 인식하고, 적정한 평가를 하기 위해서는 마찰현상에 대한 이해가 필요하게 된다.