2020
DOI: 10.1007/s11042-020-09079-y
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Machine learning method for cosmetic product recognition: a visual searching approach

Abstract: A cosmetic product recognition system is proposed in this paper. For this recognition system, we have proposed a cosmetic product database that contains image samples of forty different cosmetic items. The purpose of this recognition system is to recognize Cosmetic products with there types, brands and retailers such that to analyze a customer experience what kind of products and brands they need. This system has various applications in such as brand recognition, product recognition and also the availability o… Show more

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Cited by 16 publications
(5 citation statements)
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“…Every DNA sequence is converted into indicator matrices ( Rout et al, 2018 ; Umer et al, 2021 ). Let X = {A, T, C, and G} denote the set of finite alphabet nucleotides, and D(N) denote a DNA sequence with four symbols from X of length N. The indicator function for every DNA sequence is described by the following equation: such that the indicator matrix will be …”
Section: Basic Terminologymentioning
confidence: 99%
“…Every DNA sequence is converted into indicator matrices ( Rout et al, 2018 ; Umer et al, 2021 ). Let X = {A, T, C, and G} denote the set of finite alphabet nucleotides, and D(N) denote a DNA sequence with four symbols from X of length N. The indicator function for every DNA sequence is described by the following equation: such that the indicator matrix will be …”
Section: Basic Terminologymentioning
confidence: 99%
“…There are many critical aspects in the pattern classification problem, like the accuracy of classification, computational time, learnability, generality, interpretation of parameters etc. Many approaches exist to create pattern classifiers, such as neural networks, statistical models, fuzzy logic systems, and evolutionary systems [2][3][4][5]. In the applications mentioned above, the classification of patterns is essential.…”
Section: Introductionmentioning
confidence: 99%
“…The sentiment analysis efforts to control the temper of a speaker or opponent might be an assessment of enthusiastic responses. Sentiment mining is a task that analyzes a widespread number of archives to accumulate the sentiments of remarks postured [2] and integrates various approaches, including computational and information retrieval [3].…”
Section: Introductionmentioning
confidence: 99%