In this paper, an effective and reliable skew estimation technique for machine printed documents and photos using radon transform is proposed and is compared with other methods used for skew estimation such as Fast Fourier Transform (FFT), Hough Transform (HT), combination of Horizontal Projection Profile (HPP) and Hough Transform, combination of Gabor filter and Radon transform, combination of...

In this paper we compare the efficiency of a Cell Average Constant False Alarm Rate (CA CFAR) detector and a Hough detector with average randomly arriving impulse interference. We assume that the target echo signal fluctuates according to a Swerling II signal model; the randomly arriving impulse interference is with a Poisson distribution of the probability for appearance and a Rayleigh distrib...

We propose a noise robust speech recognition method based on combining novel features extracted from fundamental frequency (F0) information and spectral subtraction. F0 features have been shown to be effective in speech recognition in noisy environments. Recently, F0 features obtained by Hough transform were developed for concatenated digit recognition and significantly improved recognition per...

The main drawbacks of the Hough transform (HT) are the heavy requirement of computation and storage. To improve the drawbacks of the HT, the randomized Hough transform (RHT) was proposed. But the RHT is not suitable for detecting the pattern with the complex image because the probability is too low. In this paper, we propose a fast randomized Hough transform for circle/circular arc detection. W...

Circle detection has been widely applied in image processing applications. Hough transform, the most popular method of shape detection, normally takes a long time to achieve reasonable results, especially for large images. Such performance makes it almost impossible to conduct real-time image processing with sequential algorithms on community computers. Recently, NVIDIA developed CUDA programmi...

We present a neuro-fuzzy system for character recognition from printed documents using a fuzzy Hough transform technique. For each character pattern, fuzzy Hough transform extracts information from the standard Hough transform accumulator cells into a number of fuzzy sets. These basic fuzzy sets are combined by t-norms to synthesize additional fuzzy sets whose heights form an n-dimensional feat...

The Hough detector is investigated with three types of Constant False Alarm Rate (CFAR) processors – an Adaptive censoring Post detection Integration (API CFAR) processor, a Binary Integration (BI CFAR) processor and an Excision with Binary Integration (EXC CFAR BI) processor in the presence of randomly arriving impulse interference. The detection probability and the average detection threshold...

In this paper we proposes a new method t o detect a slanted ellipse using Hough transform with 5 parameters effectively. The procedure is as follows: First, a pair of arcs are detected as a part of the slanted ellipse using a circle detecting Hough transform with 3 parameters; the central point (xc,yc) and the slanted angle 9 can be obtained. Second, the slanted ellipse is transformed into a no...

-In this work we present two new algorithms for the detection of circles and ellipses which use the FHT algorithm as a basis: Fast Circle Hough Transform (FCHT) and Fast Ellipse Hough Transform (FEHT). The first stage of these two algorithms, devoted to obtaining the centers of the figures, is computationally the most costly. With the objective of improving the execution times of this stage it ...

— This paper analyzes the statistical performance of track initiation methods. It evaluates, by considering a track initiation as a problem of signal detection, the track detection probabilities and false track probabilities of four popular approaches: the rule-based method, the logic-based method, the Hough transform, and the modified Hough transform techniques. The first two methods detect th...