[PDF] Top 20 A Review on Fuzzy Logic Based Object Recognition Techniques

... text recognition, which aims to recognize text in natural scenes, remains a challenging ...the recognition task. Scene Text Recognition: Scene text recognition is an important research problem ... See full document

... authentication techniques due to the biometric characteristics of individuals are not easily transferable, are unique of every person, and cannot be lost, stolen or ...Face Recognition is one of the methods ... See full document

... Pattern recognition system is regarded as a system, whose input is the information of the pattern to be recognized, and output is a class to which the entered pattern belong [1, ...pattern recognition is ... See full document

... the fuzzy k-nearest neighbours and the fuzzy ...the fuzzy pattern matching approach, in the framework of possibility the- ory, can be viewed as the possible counterpart of the Bayesian approach to ... See full document

... In the field of soft computing Genetic Algorithms are unorthodox search and optimization algorithms, which mimic some of the processes of natural evolution. GA is evolutionary algorithms under guided random, which is ... See full document

... Fuzzy logic is also called as fuzzy set theory, which was established in 1965 by Lofti Zadeh to combat the problems ...completely based on “de-gree of truth” rather than the values which is ... See full document

... product review, user helps a lot about decision making of the product [11, 12, ...amount review is a very difficult ...using fuzzy logic and ...text based emotion ...emotion ... See full document

... optimal fuzzy Proportional-Integral-Derivative (PID) controller for the solar plant at ...the Fuzzy PID controller are optimized by using Generic ...integrated fuzzy logic-based solar ... See full document

... Fuzzy logic offers a good solution for posing a query in terms of natural language based on the various features of an ...image. Fuzzy logic has been extensively used at various stages ... See full document

... character recognition algorithm. Current optical character recognition (OCR) systems can achieve almost perfect recognition rate on printed text in scanned ... See full document

... a fuzzy logic controller, the authors in [33] proposed other design method using techniques from Digital Signal ...these techniques to enabled the development of circuits which are not only ... See full document

... Based on the above statement, Kulankara et al. [41] regarded the fixturing elements as rigid and the workpiece to be elastic and then utilized the FEM to simulate the machining operation. The machining forces are ... See full document

... the fuzzy system circuit that generates the threshold the design methodology used is described in ...is based on the hardware description language VHDL as a way to describe and model the system at high ... See full document

... In image pre-processing loaded input image undergoes segmentation, finding bright intensity values of pixels and their belongingness to particular region is noted in the form of feature. Out of which extracted 2x1 matrix ... See full document

... In his work Bischof discusses a system of Conditional Rule Generation (CGR) which builds upon a set of structural pattern information to classify a set of training informa- tion. CGR is based on the concept of ... See full document

... the fuzzy set based classifier ...the fuzzy inference system through fuzzification block. The fuzzy inference block is the heart of the system as it processes the input data and gives output ... See full document

... the fuzzy logic defined for it and gives a new priority ...reshuffled based on the arrival time ...by fuzzy logic is displayed in table 12 ... See full document

... In this paper, a connection between strong homo- morphism and admissible partition is presented. Also, we showed that any quotient of a given BL-GFA and the BL-GFA itself have the same behavior. The researchers obtained ... See full document

... T1FS based classifiers. The present problem shows recognition accuracy as high as ...gesture recognition, features based on Euclidean distances and angles between four centroids of the body ... See full document

... computing techniques such as fuzzy logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System have emerged to model the various hydrological ...pattern recognition and ... See full document