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Handwriting recognition has always been a challenging task in image processing and pattern recognition. India is a multi-lingual, multi-script country, where eighteen official scripts are accepted and there are over a hundred regional languages. The feature extraction method is probably the most effective method in achieving high recognition performance. In this study we proposed a zone-based feature...
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of image where the preciseness and reliability of its results will affect directly the comprehension machine system made for objective world. Several edge detectors have been developed in the past decades, although no single edge detectors have...
In this paper, a fast backlight module luminance inspection method is proposed. The proposed method inspects various backlight modules at once and all check points within the backlight modules are examined. Comparing to the traditional method which inspects one check point at a time, the proposed method is fast. The experimental results show that the proposed method usually yields satisfactory results.
As an important image feature, a corner takes significant position in camera calibration, pattern recognition and image matching area. A large amount of image corner points are the intersecting points of the edges of polygons. A corner point extracting method based on support vector for regression (SVR) was proposed aimed at extracting intersecting points. First, a digital image of geometric figures...
In this paper, we present a text detection and localization method. Our detection technique is based on a cascade of boosted ensemble and localizer uses standard image processing techniques. We propose a small set of features (39 in total) capable of detecting various type of text in grey level natural scene images. Two weak learners, linear discriminant function and log likelihood-ratio test under...
In many automated visual surveillance applications, humans are important targets. As humans often move together, occlusions between them occur frequently, and it brings difficulty into image analysis. In this paper, two novel techniques are proposed to divide an image blob where two people are connected due to partial occlusion between them. The first technique uses a simple human size model to distinguish...
Graphical processing units (GPUs) have been, lately used for general purpose tasks owing to their implicit parallel nature. One such task is that of pattern classification. Highly parallel tasks like these suffer from performance loss owing to the sequential nature of central processing unit (CPU). To match the image processing power of human brain even slightly, this problem beckons the utilization...
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