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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...
A novel method, called grayscale iteration threshold pulse coupled neural network (GIT-PCNN) was proposed for image segmentation, which integrates grayscale iteration threshold with PCNN. PCNN has been widely used in image segmentation. However, satisfactory results are usually obtained at the expense of time-consuming selection of PCNN parameters and the number of iteration. In this method, traditional...
Data clustering is an effective method for data analysis and pattern recognition which has been applied in many fields such as image segmentation, machine learning and data mining. It is the process of splitting the multidimensional data into several groupings or clusters based on some similarity measures. A cluster is usually defined by a cluster center. Generally, the information of the features...
This paper presents a style transfer algorithm of caricature. Rather than transferring texture from one image to another globally, we introduce an interactive tool for local texture transfer of caricature. As the segmentation algorithm is not very satisfactory for complex case of human face and the caricature, we use a brush by which the user draws some strokes on the source and target images to indicate...
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...
In this paper, a novel method is proposed to detect faces based on PCNN time signature and skin color segmentation, in which no training is needed. A test image is first divided into overlapped blocks and extracted PCNN time signature as the detection features, which a two-dimensional image is projected to a one-dimensional feature space. The test blocks are matched to a face template, which can be...
This study describes a new method for segmentation of Synthetic Aperture Radar (SAR) images, which integrates optimal threshold with pulse-coupled neural network (PCNN). Traditional image segmentation algorithms exhibit weak performance for SAR images due to the poor quality of SAR images. PCNN has been widely used in image segmentation. However, satisfactory results are usually obtained at the expense...
A new approach for separating mathematics from usual text is presented. Contrary to the existing researches, it is aiming at Chinese mathematical documents and more oriented toward the segmentation than the recognition, separating the formulas outside and inside the text lines. The approach is composed of Parzen windows and Bayes theorem. Improved Parzen windows is used to extract the isolated formulas...
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