• 대한전기학회논문지:전력기술부문A
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• 제48권1호
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• pp.76-81
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• 1999

The degree of relative similarity between 2D patterns is obtained using Open-Ball Scheme. Open-Ball Scheme employs a method of transforming the geometrical information on 3D objects or 2D patterns into the features to measure the relative similarity for object(patten) recognition, with invariance on scale, rotation, and translation. The feature of an object is used to obtain the relative similarity and mapped into [0, 1] the interval of real line. For decades, Moment-Invariant Method has been used as one of the excellent methods for pattern classification and object recognition. Open-Ball Scheme uses the geometrical structure of patterns while Moment Invariant Method uses the statistical characteristics. Open-Ball Scheme is compared to Moment Invariant Method with respect to the way that it interprets two-dimensional patten classification, especially the paradigms are compared by the degree of closeness to human's intuitive understanding. Finally the effectiveness of the proposed Open-Ball Scheme is illustrated through simulations.

• International Journal of Ocean System Engineering
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• 제2권1호
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• pp.16-23
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• 2012

In this paper we discussed a new methodology for Urdu Character Recognition system using Dempster-Shafer theory which can powerfully estimate the similarity ratings between a recognized character and sampling characters in the character database. Recognition of character is done by five probability calculation methods such as (similarity, hamming, linear correlation, cross-correlation, nearest neighbor) with Dempster-Shafer theory of belief functions. The main objective of this paper is to Recognition of Urdu letters and numerals through five similarity and dissimilarity algorithms to find the similarity between the given image and the standard template in the character recognition system. In this paper we develop a method to combine the results of the different distance measurement methods using the Dempster-Shafer theory. This idea enables us to obtain a single precision result. It was observed that the combination of these results ultimately enhanced the success rate.

• 한국인터넷방송통신학회논문지
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• 제11권4호
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• pp.181-186
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• 2011

본 논문에서는 잡음 환경에서의 음성인식 개선에 관한 내용으로 기존의 DTW에서 일종의 특징보상기법을 적용한 방식으로 예측잡음이 아닌 실생활에서의 음성잡음 데이터를 적용하여 인식모델을 잡음상황에 맞도록 적응시키는 방법으로 제안하는 Noise Cancel DTW를 사용하였다. 음성인식 시 주변노이즈를 고려한 참조패턴을 생성하여 특징 보상으로 인식률을 향상 시키는 방법으로 잡음 환경에서 음성 인식률을 향상 시켰다.

• 한국인터넷방송통신학회논문지
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• 제11권3호
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• pp.175-179
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• 2011

본 논문에서는 모바일 환경에서의 음성인식 개선에 관한 내용으로 기존의 HMM에서 특징보상기법을을 적용한 방식으로 예측잡음이 아닌 실제 오염된 데이터를 적용하여 인식모델을 잡음상황에 맞도록 적응시키는 모델적응 HMM을 사용하였다. 음성인식 시 기존의 방법에서는 주변노이즈를 고려하지 않은 참조패턴을 사용하였으나 본 연구에서는 주변노이즈를 고려한 참조패턴을 생성하여 인식률을 향상 시키는 방법으로 모바일 환경에서의 음성 인식률을 향상 시켰다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.243-245
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• 2017

본 논문에서는 많은 연구가 이루어지고 있는 안면인식 기술에서 2차원에 대한 취약점으로 깊이데이터를 받아 안면인식 기술의 보안성을 높였다. 본 논문은 이에 2차원 안면인식에 대한 취약점인 깊이 굴곡데이터가 없어 사진으로도 보안성을 허무는 단점을 사람들 개별의 습관성을 지닌 눈 깜박임에 대한 데이터를 받아오고 또한, 양 측면 이미지의 추가 데이터를 통하여 깊이데이터를 측정하지 않아도 깊이 데이터에 대한 정보를 받아 깊이카메라를 사용하지 않아도, 안면인식 보안성을 올려 주는 새로운 패턴을 분석하여, 장비를 줄여줌으로써, 원가 절감효과를 기대한다.

• 한국통신학회논문지
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• 제5권1호
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• pp.44-48
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• 1980

본 논문에서는 필기체 한글인식을 위한 한 방법을 제안했다. 기본 자모를 대상으로 하였으며, 임의의 Pattern에 대하여 접합보상및 정형 Algorithm을 제안하므로써 본래의 표준 한글 pattern으로 정형화하였다. 인식에는 Tree grammar를 사용하였으며, 새로운 Parsing 방법을 제안하므로써 종래의 방법보다 처리를 간단화시켰으며 error를 감소시켰다. 제한된 필기체에 대하여는 매우 효과적이었으며 on line 필기체 인식에도 유용성이 있음을 보였다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2005년도 추계 학술대회 발표논문집
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• pp.163-166
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• 2005

We propose a speech emotion recognition method for natural human-robot interface. In the proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad and surprised. Features for an input utterance are extracted from statistics of phonetic and prosodic information. Phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; Prosodic information includes pitch, jitter, duration, and rate of speech. Finally a patten classifier based on Gaussian support vector machines decides the emotion class of the utterance. We record speech commands and dialogs uttered at 2m away from microphones in 5different directions. Experimental results show that the proposed method yields 59% classification accuracy while human classifiers give about 50%accuracy, which confirms that the proposed method achieves performance comparable to a human.

• 한국콘텐츠학회논문지
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• 제3권4호
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• pp.103-110
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• 2003

본 논문에서는 퍼지 구의 성질을 조사하고, 이에 대한 수렴정리를 수립하였다. 퍼지 구에 대한 수렴정리가 컴퓨터 그래픽이나 영상인식에 응용이 되길 기대한다.

• 한국멀티미디어학회논문지
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• 제22권11호
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• pp.1233-1241
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• 2019

The goal of the sound-based mechanical fault diagnosis technique is to automatically find abnormal signals in the machine using acoustic emission. Conventional methods of using mathematical models have been found to be inaccurate due to the complexity of industrial mechanical systems and the existence of nonlinear factors such as noise. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We propose an automatic fault diagnosis method using discrete wavelet transform and power spectrum density using multi pattern recognition. First, we perform DWT-based filtering analysis for noise cancelling and effective feature extraction. Next, the power spectral density(PSD) is performed on each subband of the DWT in order to effectively extract feature vectors of sound. Finally, each PSD data is extracted with the features of the classifier using multi pattern recognition. The results show that the proposed method can not only be used effectively to detect faults as well as apply to various automatic diagnosis system based on sound.

• 한국기계가공학회지
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• 제15권4호
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• pp.51-59
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• 2016

Measurements of the automobile manufacturers are available anywhere and anytime, directly based on the criterion of failure is measured. The maintenance of high-precision production activities is direct evidence of the fact that competitive manufacturing activities are very important in determining the success of companies to recall defective starting from raw material costs. The current manufacturing sites produce calipers and clearance gauge the degree of tool only specific. Therefore, judging the quality, including the number of errors, requires a lot of attention to the dimension failures in day-to-day measurements and measurement tasks and duties repeated in difficult situations. In this paper, we aim to develop a vehicle manufacturing plant site using each of the manufacturing processes while operating a measurement tool. We display it using the Image Processing PC-based S/W with all those visual facts by management and recorded as image information a more accurate and current situation to obtain information and share visual measurements. We carry out research on the design and development vision inspection algorithm applied for pattern-recognition techniques that can help manufacturing site quality control.