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This paper proposed a new method of handwritten Chinese character recognition. The character image is segmented into 10 sections by 10 equal-interval concentric circles. 4 segmentation modes can be formed with the combination of 10 different-radius circles. The pixel distribution probability of strokes of character in every section is calculated. The concentric circles segmentation is an ideal method...
We formulate the issue of joint image segmentation and recognition as an integrated statistical inference problem. A two-layer graphical model is proposed that supports the optimal segmentation and recognition in an unified Bayesian framework. Due to the explicit modeling of two tasks in the graphical model, an efficient non-iterative belief propagation algorithm is used for state estimation. The...
Nowadays many digital watermarking schemes have been proposed to protect paper-based documents, in which character segmentation is important in both embedding and detecting processes. However, considering the time/cost consuming, the current character segmentation methods used in OCR (optical character recognition) are not suitable for this purpose. In this paper, by incorporating the statistical...
The characteristics of scene text include the uneven lighting and the variability of character color which make scene text extraction more difficult than document image. In this paper, a novel scene text extraction method is proposed based on the independence between hue and lightness. We categorize text region into three types according to the composed color. Different color information is used to...
Recognizing texts from camera images is a known hard problem because of the difficulties in text segmentation from the varied and complicated backgrounds. In this paper, we propose an algorithm that employs two novel filters and a basic component-based text detection framework. The framework uses the Niblack algorithm to threshold images and groups components into regions with commonly used geometry...
This paper proposes a new technique of figure-ground discrimination of color characters in scene images following two steps. The first step is temporary binarization by selecting one optimal projection axis in the RGB color space and a threshold value along the axis using Otsupsilas criterion as a two-class classification problem. The second step is figure-ground determination based on the figure-to-ground...
This paper presents a method of vehicle license plate correction based on minimum projection distance of characters area. The method shows that the projection distance to vertical coordinate axis of character area is is minimum when the vehicle license plate is corrected. Then computing the minimum vertical projection distance can capture the tilt angle of slant image. And similarly the shear angle...
It utilizes back-propagation neural network (BPNN) as the recognition system tool. The identification is done by the back propagation neural network (BPNN). Moreover, we improve BPNN some limitation, such as slow learning speed in the training process, leading to partial minimum values that are difficult to converge, and the need to retrain an enormous volume of data whenever new training samples...
An effective algorithm for number and letter character recognition is proposed in this paper. Our algorithm employs template matching, but it unlike traditional template matching method using the original pixel value to match. Our algorithm draws some features from the original image, and then obtains an eigenvector of 192 dimensions. Before drawing features, the image is disposed using math morphologic...
In this paper, we have proposed a novel approach of license plate recognition system by adopting comprehensive features of license plate. Firstly, we originally combine the stroke width of license plate character with specified colors of license plate to segment the license plate region. Then, we use linear fitting method and projecting method to rectify the position of slant license plate. Furthermore,...
This paper describes a method of identifying authorship of Ukiyoe prints by using Rakkan images found in the prints. A weighted direction index histogram method has been used to create the feature vector for Rakkan character analysis. Also the Pseudo Mahalanobis distances were used to judge distances between dictionary templates and test data. The method includes binarization of Rakkan images which...
Expanding on an earlier study to objectively validate the hypothesis that handwriting is individualistic, we extend the study to include handwriting in the Arabic script. Handwriting samples from twelve native speakers of Arabic were obtained. Analyzing differences in handwriting was done by using computer algorithms for extracting features from scanned images of handwriting. Attributes characteristic...
The utility of automatic systems to visually identify vehicles based on the recognition of their license plates is nowadays unquestionable. They can be applied in very different scenarios, like access control, calculation of parking fares, automatic payment of tolls or parking fines, traffic control, etc. In the literature numerous works can be found proposing solutions to the automatic license plate...
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