[PDF] Top 20 Text Recognition from Complex Colored Images using Neural Network with Discriminative Feature Extraction

Text Recognition from Complex Colored Images using Neural Network with Discriminative Feature Extraction

... training neural networks (Fig 1). The input pattern on which the network had to be trained is presented at the input layer of the net and the net is run normally to see what output it actually produces ... See full document

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Text Extraction from Images using Convolutional Neural Network

... Morphological feature extraction techniques have been efficiently applied to character recognition and document ...important text contrast features from the processed ...or text ... See full document

5

Texture Feature Extraction for Batik Images Using GLCM and GLRLM with Neural Network Classification

... sampled from the test image and ultimately interest operators cannot provide enough patches to ...classify images based on the resulting global image ...pattern recognition is a challenging task for ... See full document

10

Face Recognition Using SOM Neural Network with DCT-PT Facial Feature Extraction Techniques

... face recognition system is Face ...face images but can be difficult for complex ...image feature for face ...face recognition embedded in a smart home ...cropped from an input ... See full document

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Text Extraction and Recognition from Image using Neural Network

... skewed text and text with different ...the text is with high contrast and characters have moderate ...a text string for meaningful text ...few images. A learning based algorithm ... See full document

7

Neural Network based Approach for Recognition of Text Images

... character recognition is a difficult problem due to the great variations of writing styles, different size of the ...styles from different persons are considered in this ...character recognition in ... See full document

6

Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques

... face images but can be difficult for complex ...image feature for face ...face recognition embedded in a smart home environment ...cropped from an input ...face recognition ... See full document

5

Comparison Of Two Different Proposed Feature Vectors For Classification Of Complex Image

... pattern recognition use a set of local features for recognition ...of using only local features, this paper presents a method to extract features from image body globally as ...region ... See full document

18

Observing the Effects of Colored Lenses on Iris Recognition using Feature Extraction Technique

... matched using various matching techniques; each approach to iris recognition has several aspects being taken into ...by using different recognition techniques can be matched through the ... See full document

7

Wavelet based Multi Class image classification using Neural Network

... forward neural networks. The feed forward neural net refer to the network consisting of a set of sensory units (source nodes) that constitute the input layer, one or more hidden layers of computation ... See full document

5

A Survey on Neural Network Based Classification & Diagnosis of Brain Hemorrhages

... medical images, and diagnose a patient’s disease by procuring useful information and interpreting medical images with their experience, knowledge, and ...pattern recognition, even though good CAD ... See full document

6

Fast Image Embedded Chinese Text Extracting by Homogeneous Space Mapping

... embedded text images are selected for experiment, including Internet MMS, WeChat images, TV subtitles, and photos and so ...the extraction of embedded text in ...embedded text in ... See full document

6

A new joint CTC-attention-based speech recognition model with multi-level multi-head attention

... speech recognition, a joint CTC-attention architecture was ...alignments from CTC to attention- based part, and it was demonstrated to be quite effective in solving the problem [12, ... See full document

12

Handwritten Character Recognition: A Review

... Devanagari text by mapping words directly to Unicode ...main recognition unit and use a sequence transcription module to map the features to corresponding ...script recognition using Zernike ... See full document

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II. REVIEW OF RELATED LITERATURE A. Image Acquisition

... encoded using mean absolute deviation (MAD) ...vein images were divided to 20 x 20 pixel sub-images and mean absolute deviation was implemented to each ...obtained feature array has a length ... See full document

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EXTRACTION OF TEXT FROM COMPLEX IMAGES FOR MULTIMEDIA APPLICATION

... Text extraction in images and video has been rapidly increasing since 1990s and is an significant research field in content-based information indexing and ...retrieval. Text Extraction ... See full document

11

Handwritten Character Recognition – A Review

... character recognition the input image is acquired by digital camera and ...values. Neural network is used for classification. Recognition efficiency obtained is ... See full document

6

Face Recognition Using Principal Component Analysis

... calculated from the training set and stored the ...approximated using only the best M eigen faces, that mean the largest eigen ...reduced from N (the number of pixels in image) to the number of ... See full document

6

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... person from his or her voice characteristics is an essential trait for human ...speaker recognition (ASR) systems are developed to find the identity of the speaker in the field of forensics, business ... See full document

10

Road Feature Extraction from High Resolution Satellite Images using Neural Network

... Abstract - Road transportation is the main form of transportation in any given region. The main problem in developing countries is the maintenance of the road. The maintenance includes the potholes on the road which is ... See full document

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