Recognition of Gray Character Using Gabor Filters
نویسندگان
چکیده
In this paper, a novel Gabor filter-based feature extraction method for low resolution gray character classification is proposed. By applying Gabor filters to a character image, dominant orientation matrix is obtained and used to form feature vector for recognition. We compared our Gabor feature with other Gabor features. Experiments show that the proposed feature extraction method achieves high recognition accuracy and is also not sensitive to noise and other distortions. This method has been used in a Vehicle License Plate Character System.
منابع مشابه
Title Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps
So far the bottleneck of Chinese character recognition, especially handwritten character recognition, still lies in the effectiveness of featureextraction to cater for various distortions and position shifting. In ths paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optim...
متن کاملOff-line Handwritten Malayalam Character Recognition Using Gabor Filters
Handwritten character recognition is the ability of a Computer to receive and interpret handwritten input. Computers may find difficultly in deciphering many kinds of printed characters which is of different fonts and styles or handwritten characters. This paper focuses on the recognition of handwritten Malayalam characters. The proposed system consists of image acquisition, preprocessing, segm...
متن کاملLicense Plate Localization Using Gabor Filters and Neural Networks
Vehicle License Plate Detection (LPD) is an important step for the vehicle plate recognition which can be used in the intelligent transport systems. Many methods have been proposed for the detection of license plates based on: Mathematical morphology, Discrete Wavelet Transform, Hough Transform and others. In general, an LPR system includes four main parts: Vehicle image acquisition, license pl...
متن کاملHandwritten Chinese Character Recognition Using Spatial Gabor Filters and Self-Organizing Feature Maps
So far the bottleneck of Chinese character recognition, especially handwritten character recognition, still lies in the effectiveness of featureextraction to cater for various distortions and position shifting. In ths paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optim...
متن کاملHandwritten Character Recognition Using CNN Gabor-Type Filters
This paper proposes an approach for handwritten character recognition using nonlinear normalisation, a CNN Gabor-Type filter, a Location Based Dominant Orientation Map and cross correlation. Based on a test set of 26 test characters acting as template and a set consisting of 4 sets of 26 unknown handwritten test characters, max. 92 % correct recognition is provided. Recognition rate is studied ...
متن کامل