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To tackle the problem of character segmentation for the palm leaf manuscripts, a character segmentation algorithm is proposed in this paper. The whole process of the algorithm consists of two steps, interleaving character segmentation and touching character segmentation. In the first step, the improved Viterbi algorithm and some path filtering rules are used to perform path detecting and path filtering...
A binarization algorithm based on strokes edge detection is presented which could binary the images of palm leaf manuscripts effectively with pretty performance in this paper. Firstly, the binarized contrast map is obtained by using an adaptive algorithm. Secondly, the stroke edge map is detected by combining the binarized contrast map with Canny edge map based on the bitwise AND operator. And then,...
In order to solve the problem of PCNN with improper parameter selection and determination of circulation iterations which leads to the image owe-segmentation or over-segmentation, an Iterative Self-organizing Data Clustering (ISODC) model is used in this paper to resolve the problems of the PCNN parameters selection and requiring multiple circulation. By using ISODC clustering search decision-making...
With the development of optical character recognition research, many techniques for printed character recognition have been developed. But the character recognition study for the New Tai Lue has lagged behind. As a result, the digital processes of New Tai Lue have been in troubles. To solve this problem, this paper proposed a printed New Tai Lue character recognition method based on the Back Propagation...
The text line segmentation process is a key step in an optical character recognition (OCR) system. Several common approaches, such as projection-based methods and stochastic methods, have been put forward to fulfill this task. However, most of existing methods cannot be directly applied to process the palm leaf manuscripts of Dai which the images have poor quality and include smudges, creases, stroke...
Video stream segmentation is a critical step in many computer vision applications. Background subtraction based on Gaussian Mixture Model (GMM) is a commonly used technique for video segmentation. In this paper, an improved Adaptive-K Gaussian Mixture Model (AKGMM) method was presented for updating background. The dimension of the parameter space at each pixel can be adjusted adaptively according...
There are many biometric features in the hand images captured by digital camera, but few studies are done to extract fingerprint image from it. This paper presents some fingerprint image preprocessing approaches based on a whole-hand image captured by digital camera. The preprocessing methods include key point location, finger image segmentation and fingerprint region extraction. Firstly, the key...
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