[PDF] Top 20 Scene Text Recognition Using Nearest Neighbors Approach
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Scene Text Recognition Using Nearest Neighbors Approach
... detect text in the ap- plication of sign recognition such as street indicators and ...implement text detection in real ...large text very well due to the use of local features that represents ... See full document
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APPROACHING NEAREST NEIGHBORS WITH KEYWORDS IN EFFICIENT MANNER
... Abstract: Nearest Neighbor Search (NNS) also known as Proximity Search or closest point search is an optimization Problem for finding closest ...and nearest neighbor retrieval, involve only conditions on ... See full document
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Interpreting Neural Networks with Nearest Neighbors
... When using D K NN, the conformity score indi- cates that the model’s uncertainty has not risen without these input words and leave-one-out does not assign them any ... See full document
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A Novel Approach to Scene Text Deblurring With Accurate Estimation of Kernels
... The text resides in the natural scene images play an important role in the environment which can provide the semantic meaning of images in the considerable ...manner. Recognition and understanding ... See full document
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Intelligent Scene Text Recognition of Natural Images
... of text and identification of characters in scene images is a challenging visual recognition ...to using purpose-built, text-specific features or ...character recognition in ... See full document
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Text Detection and Recognition from Natural Scene
... of text extracted from natural scenes. Text extraction is emerging and challenging era in the computer ...vision. Text which is embedded into the image contains semantic information which is used in ... See full document
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Structure Guided Scene Text Recognition
... the scene text detection algorithms in the literature can be classified into Region-based and Connected Component (CC) based ...force approach which requires a lot of local ...non text) of a ... See full document
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Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN
... natural scene images, the text content provides explicit information to understand the semantics of ...natural scene images, in real-time, has significant relevance to numerous applications such as, ... See full document
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Scene Text Recognition from Two-Dimensional Perspective
... speech recognition, recent state-of-the-art al- gorithms mostly consider scene text recognition as a se- quence prediction ...that text in images are actually distributed in ... See full document
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Similarity Learning in Many Core Architecture
... k nearest neighbor (kNN) algorithm. The k nearest neighbor classifi- cation rule requires a training data set of labeled ...pattern recognition, database ...for Nearest Neighbor Classification ... See full document
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Video Scene Text Deblurring Using TMD & ER Text Localization
... the text field properties improving the blurry scene text ...the text and natural dictionary is used for non-text ...character recognition difficulty as a capable consecutive ... See full document
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A Completion on Fruit Recognition System Using K Nearest Neighbors Algorithm
... Abstract— Recognition of several fruit images is major challenges for the ...fruit recognition techniques which combine different analysis method like color-based, shaped-based, size-based and ...of ... See full document
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Scene text recognition in images by character descriptor and structure configuration
... the nearest objects is very important for an array of search and mining operations, such as similarity search or ...our approach learns/calculates the largest amount of noise that can be added, so that ... See full document
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Data Mining Techniques in Parallel Environment A Comprehensive Survey
... phenotype. Using parallel approach we can reduce the amount of time taken by an ...KNN using both sequential and parallel ...class using CUDA or any other parallel programming approach ... See full document
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An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures
... of Nearest Neighbors Each hidden state with its nearest neighbors be- haves like a cluster centered around the corre- sponding word occurrence of the hidden state, whereby the neighboring ... See full document
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Comparative Study for Text Document Classification Using Different Machine Learning Algorithms
... K-nearnest Neighbor (KNN) is an eager learning method and use explicit description of target function on the whole training set. KNN is instance-based learning in which learning means storing all training instances and ... See full document
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A REVIEW ON PLANT RECOGNITION AND CLASSIFICATION TECHNIQUES USING LEAF IMAGES
... segment. Using nonlinear combinations of geometric moments, Hu derived a set of invariant moments which has the desirable properties of being invariant under image translation, scaling, and rotation ...pattern ... See full document
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Approximate nearest neighbors for recognition of foreground and background in images and video
... The kd-tree is a type of space-partitioning binary tree where nodes have tuples of dimension d 4 . The construction is follows that of a standard binary tree – for a value v at axis a (0 ≤ a < d) where v = T uple[a] : ... See full document
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A Comparison of Classifiers in Performing Speaker Accent Recognition Using MFCCs
... A popular task in signal processing is the classification of different people by their accents. That is, given an in- put signal, the task is to classify the accent of the speaker [1]-[5]. In this paper, we would only ... See full document
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Scene text recognition in images by character descriptor and structure configuration
... Camera-Based text information serves as effective tags or clues for many mobile applications associated with media analysis, content retrieval, scene understanding, and assistant ...natural scene ... See full document
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