Some general remarks about pattern recognition; its definition; its relation with other disciplines; a literature survey
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Cited by (11)
A novel dice similarity measure for IFSs and its applications in pattern and face recognition
2020, Expert Systems with ApplicationsCitation Excerpt :Traditionally pattern recognition techniques are centered on the feature; hence a typical pattern recognition system makes its decision by simply looking at feature vectors. In many real- world problems where objects cannot be expressed in terms of a vector features, various approaches based on template matching, statistical approach, neural network, tree classifier, support vector machines, multi classifier were proposed by Devijver and Kittler (1982), Devroye et al. (2013), Verhagen (1975) and Simon (1975). Even though suitability of various approaches for pattern recognition have been proved by the researchers, distance based similarity measure are found quite simple and easy to implement in real life problems of pattern recognition, medical diagnosis, image processing and speech recognition.
Special section: Future generation information technology
2011, Future Generation Computer SystemsCitation Excerpt :We thank all the authors and the reviewers for their efforts. Pattern recognition [3] is easy for human eyes. We can see what is in a picture in a glimpse of microseconds.
Microprocessor based recognition of dot-matrix characters using a fibre-optic scanner
1997, Microelectronics ReliabilityPicture processing: 1975
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2013, International Conference on Computer Applications Technology, ICCAT 2013Comparing features extraction techniques using J48 for activity recognition on mobile phones
2012, Advances in Intelligent and Soft Computing