The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
자동 패턴 인식을 위한 새로운 방법이 제시됩니다. 이 방법은 잘 알려진 고유한 알파벳, 복잡한 문자 및 아랍어 스크립트를 인식하는 데 적용할 수 있는 세그먼트 및 이웃 일치 알고리즘을 기반으로 합니다. 이 작업에서는 가장 높은 처리 속도와 인식 등급을 가진 문자를 선택하는 원칙 목표를 가지고 라틴어, 한자 및 마야 문자에 대해 몇 가지 보고된 방법이 평가되었습니다. 마야 글리프의 경우는 모든 글리프에 포함된 요소 수가 많고 표현이나 쓰기의 상당한 변형으로 인해 더 복잡합니다. 글리프 클래스는 800개가 넘고 그 중 많은 클래스가 유사한 구성 요소와 위치를 가지고 있습니다. 제안된 세그먼트 및 이웃 일치 방법은 글리프 뼈대를 조작하는 동안 정의할 수 있는 퍼지 세트 및 멤버쉽 함수 개념을 기반으로 개발되었습니다. 다음으로, 미리 정의된 패턴과의 일치 수준은 전체 글리프의 세그먼트 인식 및 해석에 사용됩니다. 인식 과정의 주요 특징은 불완전한 글리프 이미지에 중요한 일치 수준, 처리 시간, 회원 등급, 해석의 효율성입니다. 제안된 방법을 기반으로 특수 소프트웨어 RECGLYM(Mayan Glyphs Recognition)이 SUN 및 Intel PC 컴퓨터 플랫폼용으로 설계되었습니다. 제안된 Segments and Neighbors Matching 방법의 장점은 빠른 이미지 처리와 복잡한 글리프 해석 가능성이 높다는 것입니다. 제안된 방법은 예를 들어 X선 이미지 처리를 통해 특정 이상 징후를 선택 및 진단하거나 인터넷 탐색 및 사전 정의된 패턴을 사용한 이미지 유사성 분석을 통한 정보 검색 등 다양한 응용 분야에 사용될 수 있습니다.
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Oleg STAROSTENKO, Jose Antonio NEME, "Automatic Complex Glyphs Recognition and Interpretation" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 10, pp. 2154-2160, October 1999, doi: .
Abstract: The novel method for automatic pattern recognition is presented. This method is based on Segment and Neighbors Matching algorithm which can be applied for recognizing of distinct well-known alphabets, complex glyphs, and Arabic scripts. In this work some different reported methods have been evaluated on Latin, Chinese characters, and Mayan glyphs with the principle objective to select those with the highest processing speed and recognition grade. The case of Mayan glyphs is more complicated due to a big number of elements in any glyph, significant variations of their representation or writing, there are more than 800 classes of glyphs and many of them with similar components and locations. The proposed method of Segments and Neighbors Matching has been developed on base of fuzzy sets and membership functions concept which can be defined during manipulation with the glyph skeleton. Next, levels of matching with predefined patterns are used for segments recognition and interpretation of whole glyph. The main characteristics of recognizing process are matching level, time of processing, grade of membership, and efficiency of interpretation that is important for incomplete glyphs images. On base of proposed method the special software RECGLYM (Mayan Glyphs Recognition) has been designed for the SUN and Intel PC computers platforms. The advantages of the proposed Segments and Neighbors Matching method are quick image processing and high probability of complex glyphs interpretation. The proposed method could be used in different applications, for example, for selection and diagnose of certain anomalies by means of processing of X-ray images or for Internet navigation and searching information searching by image similarity analysis with predefined pattern.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_10_2154/_p
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@ARTICLE{e82-a_10_2154,
author={Oleg STAROSTENKO, Jose Antonio NEME, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Automatic Complex Glyphs Recognition and Interpretation},
year={1999},
volume={E82-A},
number={10},
pages={2154-2160},
abstract={The novel method for automatic pattern recognition is presented. This method is based on Segment and Neighbors Matching algorithm which can be applied for recognizing of distinct well-known alphabets, complex glyphs, and Arabic scripts. In this work some different reported methods have been evaluated on Latin, Chinese characters, and Mayan glyphs with the principle objective to select those with the highest processing speed and recognition grade. The case of Mayan glyphs is more complicated due to a big number of elements in any glyph, significant variations of their representation or writing, there are more than 800 classes of glyphs and many of them with similar components and locations. The proposed method of Segments and Neighbors Matching has been developed on base of fuzzy sets and membership functions concept which can be defined during manipulation with the glyph skeleton. Next, levels of matching with predefined patterns are used for segments recognition and interpretation of whole glyph. The main characteristics of recognizing process are matching level, time of processing, grade of membership, and efficiency of interpretation that is important for incomplete glyphs images. On base of proposed method the special software RECGLYM (Mayan Glyphs Recognition) has been designed for the SUN and Intel PC computers platforms. The advantages of the proposed Segments and Neighbors Matching method are quick image processing and high probability of complex glyphs interpretation. The proposed method could be used in different applications, for example, for selection and diagnose of certain anomalies by means of processing of X-ray images or for Internet navigation and searching information searching by image similarity analysis with predefined pattern.},
keywords={},
doi={},
ISSN={},
month={October},}
부
TY - JOUR
TI - Automatic Complex Glyphs Recognition and Interpretation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2154
EP - 2160
AU - Oleg STAROSTENKO
AU - Jose Antonio NEME
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1999
AB - The novel method for automatic pattern recognition is presented. This method is based on Segment and Neighbors Matching algorithm which can be applied for recognizing of distinct well-known alphabets, complex glyphs, and Arabic scripts. In this work some different reported methods have been evaluated on Latin, Chinese characters, and Mayan glyphs with the principle objective to select those with the highest processing speed and recognition grade. The case of Mayan glyphs is more complicated due to a big number of elements in any glyph, significant variations of their representation or writing, there are more than 800 classes of glyphs and many of them with similar components and locations. The proposed method of Segments and Neighbors Matching has been developed on base of fuzzy sets and membership functions concept which can be defined during manipulation with the glyph skeleton. Next, levels of matching with predefined patterns are used for segments recognition and interpretation of whole glyph. The main characteristics of recognizing process are matching level, time of processing, grade of membership, and efficiency of interpretation that is important for incomplete glyphs images. On base of proposed method the special software RECGLYM (Mayan Glyphs Recognition) has been designed for the SUN and Intel PC computers platforms. The advantages of the proposed Segments and Neighbors Matching method are quick image processing and high probability of complex glyphs interpretation. The proposed method could be used in different applications, for example, for selection and diagnose of certain anomalies by means of processing of X-ray images or for Internet navigation and searching information searching by image similarity analysis with predefined pattern.
ER -