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The hit-or-miss transform (HMT) is a well-known morphological transform capable of identifying features in digital images. When image features contain noise, texture, or some other distortion, the HMT may fail. Various researchers have extended the HMT in different ways to make it more robust to noise. The most successful, and most recent extensions of the HMT for noise robustness, use rank-order...
The main objective of this paper is to verify bank cheques by using account number and account holder's signature present on the cheque image. Main problem is to exact localization of active regions among non-active contours in the image. Here, we locate the regions based on the prior knowledge of Cartesian coordinate space. It further involves various steps such as Gray-Scale conversion, Segmenting...
This paper describes a new line segment detection and extraction algorithm for computer vision, image segmentation, and shape recognition applications. This is an important pre processing step in detecting, recognizing and classifying military hardware in images. This algorithm uses a compilation of different image processing steps such as normalization, Gaussian smooth, thresholding, and Laplace...
The present work is a contribution in the field of printed Tifinaghe characters recognition. The input pattern is subject to some special treatments. The recognition system consists of three phases: pre-processing, features extraction and recognition. In the pre-processing phase, we applied four operations: digitization, noise reduction, skew correction and segmentation. Then the features extraction...
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