[PDF] Top 20 Iris segmentation using a new unsupervised neural approach
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Iris segmentation using a new unsupervised neural approach
... individual. Iris recognition is a biometric identification method that uses pattern recognition on the images of the ...the iris, Iris recognition is considered as one of the most accurate methods in ... See full document
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Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation
... an unsupervised context, that means when no prior information about the data sample, we involve the neural competitive clustering procedure to the Iris ...of Iris image in an observation ... See full document
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Unsupervised Learning Helps Supervised Neural Word Segmentation
... Goodness measure based methods assign each character n-gram a goodness measure indicating the likelihood to be a word. A viterbi algorithm is applied to find the best seg- mentation by maximizing the sum of goodness ... See full document
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Image Segmentation and Edge Detection Using a Neural Networks RBF Approach
... predictor variables, x and y. The cases are plotted using their x,y coordinates as shown in the figure. Also assume that the target variable has two categories, positive which is denoted by a square and negative ... See full document
6
An Image Based Approach of Iris Recognition for Person Identification using Segmentation Algorithm
... extracted using PCA from 2D ...the Neural Network classification in which a single feature template is large enough for feature ...this approach is summed up by saying that further improvements are ... See full document
6
A new approach to unsupervised Markov random field-based segmentation of Mr images
... The probability distribution of the data is calculated from the image data, and each pixel is reassigned to the initial class, or to the outlier class, depending on how c[r] ... See full document
5
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
... word segmentation (CWS) can be roughly classified into discriminative and generative ...date segmentation, while the latter focuses on finding the optimal segmentation of the high- est generative ... See full document
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Convolutional Neural Networks in Application to Segmentation of Fingerprint Images
... Abstract. Segmentation of fingerprint images is one of the most important problems concerned with automatic biometric identification ...system. Segmentation is used to separate the area of the fingerprint ... See full document
5
Morphological-Edge Detection Approach for the Human Iris Segmentation
... the new millennium, technology has become more interesting issues and it has salient ...Therefore, iris recognition systems attract many attention not only because of its huge applications such as security ... See full document
5
The new approach in market segmentation by using RFM model
... The segmentation of customers is crucial for an organization wishing to develop appropriate promotion strategies for different ...item-based segmentation methods are not as good as ...a segmentation ... See full document
9
Texture Segmention : Comparasion between Clustering and Classification
... region segmentation some methods are used to segment the ...extraction, segmentation, ...an unsupervised classification ...propagation Neural network. In this paper, the comparison of ... See full document
5
A New Unsupervised Approach to Word Segmentation
... The input text can be viewed as a character sequence. A character sequence can be divided into two adjacent subsequences. The certainty mentioned previously means certainty of co-occurrence of adjacent subsequences. And ... See full document
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NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION
... presenta new approach for recognizing humans from images of the iris ofthe eyes under practical ...The iris has unique features and is complex enough to be used as abiometric ...identical ... See full document
6
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation
... entirely new, neural network based approach has been proposed by several research groups (Kalch- brenner and Blunsom, 2013; Sutskever et ...this neural network based approach, an en- ... See full document
8
A Powerful Yet Efficient Iris Recognition Based on Local Binary Quantization
... practical iris-based recognition system could be used as a large scale identification system with possibly millions of ...designing iris recognition scheme is not so simple. An iris recogni- tion ... See full document
8
Person Identification Technique Using Human Iris Recognition
... The iris-scan process begins with a ...the iris code template generated from a live image is compared to previously enrolled ones to see if it matches to any of ...An iris recognition camera takes a ... See full document
8
Unsupervised Concept Discovery In Hebrew Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic
... Fully unsupervised pattern-based methods for discovery of word categories have been proven to be useful in several ...ple unsupervised word segmentation algo- rithm that separates these ... See full document
9
Implementation of IRIS Image Segmentation using Distance Matrix
... atypical iris image texture into typical bit vector code. An iris recognition system was suggested here holding four ...image segmentation, and second is to localize the individuals and iris ... See full document
6
A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... through segmentation methods, this MRI has become an extremely useful medical ...based segmentation technique with lung and brain MRI images in this ...2) Segmentation using cellular ... See full document
13
A Conditional Random Field Approach to Unsupervised Texture Image Segmentation
... Image segmentation is essentially the first step toward many image analysis and computer vision ...scene segmentation [11, 12], sonar imagery [13], surveillance [14], land use [15–17], and image database ... See full document
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