Spatial and topology feature extraction on batik pattern recognition: a review
نویسندگان
چکیده
. Batik is an Indonesian cultural heritage that has been recognized by UNESCO as international on October 2, 2009. Patterns of batik produce geometric shapes unique, the number and name patterns make it difficult to recognize each motif. The objective classification split image into classes according pattern motif motive so easy in accordance with its feature. can be classified based shape motive, namely motifs, motifs non specific. Spatial information important aspect processing such computer vision recognition structure / context modelling resolution uncertainty caused ambiguity low-level features. Shortcomings inherent combining two colours spatial features are not adaptive process region across multiple images histogram matching appropriate capture content. This study discussed a model feature combinations topology aim improve validation level could better. Some have used include colour In addition, this paper discusses possibility recognition. proposes combination will able batik.
منابع مشابه
Audio Feature Extraction and Pattern Recognition
Audio Feature Extraction and Pattern Recognition Introduction Extracting, recognizing, and categorizing features of audio signals (such as genre, tempo, timbre, or mood) are processes that humans perform almost subconsciously. However, audio feature recognition and categorization is largely experience-based. Therefore, the digital implementation of these processes has been largely subjective, b...
متن کاملFeature Extraction Languages and Visual Pattern Recognition
Visual pattern recognition and classification is a challenging computer vision problem. Genetic programming has been applied towards automatic visual pattern recognition. An important factor in evolving effective classifiers is the suitability of the GP language for defining expressions for feature extraction and classification. This research presents a comparative study of a variety of GP lang...
متن کاملA Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
متن کاملPattern recognition using discriminative feature extraction
We propose a new design method, called discriminative feature extraction (DFE) for practical modular pattern recognizers. A key concept of DFE is the design of an overall recognizer in a manner consistent with recognition error minimization. The utility of the method is demonstrated in a Japanese vowel recognition task.
متن کاملFeature Extraction for Integrated Pattern Recognition Systems
Conventional pattern recognition systems have two components: feature analysis and pattern classification. Feature analysis is achieved in two steps: parameter extraction and feature extraction. Feature extraction and pattern classification can be conducted independently or jointly. Two popular independent feature extraction algorithms are Linear Discriminant Analysis (LDA) and Principal Compon...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Jurnal Informatika
سال: 2022
ISSN: ['1411-0105', '2528-5823']
DOI: https://doi.org/10.26555/jifo.v16i1.a25415