Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level

2012 ◽  
pp. 33-43 ◽  
Author(s):  
G. G. Rajput ◽  
H. B. Anita
Keyword(s):  
Gabor Filter ◽  
Script Recognition ◽  
Wavelet Features ◽  
Line Level

scholarly journals Handwritten Script Recognition using DCT, Gabor Filter and Wavelet Features at Line Level

2011 ◽  
pp. 85-90
Author(s):  
Dr. G.G. Rajput ◽  
Anita H.B.
Keyword(s):  
Recognition Accuracy ◽  
Gabor Filter ◽  
Automatic Identification ◽  
Document Images ◽  
Handwritten Documents ◽  
Multiple Feature ◽  
Wavelet Features ◽  
Feature Based ◽  
Nearest Neighbour Classifier ◽  
Line Level

In a country like India where more number of scripts are in use, automatic identification of printed and handwritten script facilitates many important applications including sorting of document images and searching online archives of document images. In this paper, a multiple feature based approach is presented to identify the script type of the collection of handwritten documents. Eight popular Indian scripts are considered here. Features are extracted using Gabor filters, Discrete Cosine Transform, and Wavelets of Daubechies family. Experiments are performed to test the recognition accuracy of the proposed system at line level for bilingual scripts and later extended to trilingual scripts. We have obtained 100% recognition accuracy for bi-scripts at line level. The classification is done using k-nearest neighbour classifier.

IMAGE THRESHOLDING BASED ON HIERARCHICAL CLUSTERING ANALYSIS AND PERCENTILE METHOD FOR TUNA IMAGE SEGMENTATION

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Alifia Puspaningrum ◽  
Nahya Nur ◽  
Ozzy Secio Riza ◽  
Agus Zainal Arifin
Keyword(s):  
Image Segmentation ◽  
Hierarchical Clustering ◽  
Gabor Filter ◽  
Hierarchical Cluster ◽  
Experimental Result ◽  
Main Process ◽  
Percentile Method ◽  
Cluster Analysis Method ◽  
2D Gabor Filter

Automatic classification of tuna image needs a good segmentation as a main process. Tuna image is taken with textural background and the tuna’s shadow behind the object. This paper proposed a new weighted thresholding method for tuna image segmentation which adapts hierarchical clustering analysisand percentile method. The proposed method considering all part of the image and the several part of the image. It will be used to estimate the object which the proportion has been known. To detect the edge of tuna images, 2D Gabor filter has been implemented to the image. The result image then threshold which the value has been calculated by using HCA and percentile method. The mathematical morphologies are applied into threshold image. In the experimental result, the proposed method can improve the accuracy value up to 20.04%, sensitivity value up to 29.94%, and specificity value up to 17,23% compared to HCA. The result shows that the proposed method cansegment tuna images well and more accurate than hierarchical cluster analysis method.

Gabor filter fusion network for pavement crack detection

2020 ◽  
Vol 13 (6) ◽  
pp. 1-9
Author(s):  
CHEN Xiao-Dong ◽  
◽  
AI Da-Hang ◽  
ZHANG Jia-Chen ◽  
CAI Huai-Yu ◽  
...  
Keyword(s):  
Crack Detection ◽  
Gabor Filter ◽  
Pavement Crack Detection

Gabor filter approximation through a Neural Network applied to fingerprint images

2016 ◽  
Author(s):  
Airam Carlos Pais Barreto Marques ◽  
Antonio Carlos Gay Thomé
Keyword(s):  
Neural Network ◽  
Gabor Filter ◽  
Filter Approximation

LHCb Base-line Level-O Trigger 3D-Flow Implementation.

1999 ◽  
Author(s):  
Dario B. Crosetto
Keyword(s):  
Base Line ◽  
3D Flow ◽  
Line Level
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