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In recent year's availability of economical image capturing devices in low cost products like mobile phones has led a significant attention of researchers to the problem of recognizing text in images. Recognition of scene text is a challenging problem compared to the recognition of printed documents. In this work a novel approach is proposed to recognize text in complex background natural scene, word...
Online handwriting recognition has many applications and the recognition with high accuracy is essential. In this paper, we introduce a method for online handwriting Farsi character and number recognition using Hidden Markov Models (HMM). First we recognize handwriting direction then we get some statistical and formatting features. The letters are classified by means of these features and then we...
The stroke is a very important feature for a character and is helpful for word recognition and handwriting identification. Although thinning algorithms can be applied for stroke extraction, they always suffer from the problems of bifurcation and disconnection. Moreover, since the end points of strokes cannot be preserved by thinning, the stroke length cannot be accurately determined and the start...
This paper proposes a novel license plate recognition method based on complex network to improve the accuracy of character recognition under the interference environment. An adaptive multi-threshold method based on the block separation and the feature lines of the image is proposed for the fast image binarization. Then the characters segmentation is performed using region labeling algorithm and the...
A new method of weed recognition based on the invariant moments was proposed in this paper. Firstly, the area of the soybean leaf was located from the complicated image background. Secondly, the features of soybean leaf were obtained by Hu invariant moments, which are the invariability of the translation, the ratio and the rotation, and have lower computational complexity. Finally, the soybean leaf...
Historical Chinese character recognition has been a challenging topic in pattern recognition field because of large character set, various writing styles and lack of training samples. In this paper, we adopted Style Transfer Mapping (STM) method to historical Chinese character recognition. Optimal selection of parameters was discussed. Two sets of experiments were conducted. The first set of experiment...
In this paper we propose a neural net based characters recognition scheme for Bangla printed text books. There are a lot of scientific literature, novels, magazines and books etc that are written in Bangla language. More than 400 million people use Bangla language. Most of the library and educational institutions want to keep copy of the books in a digital format. For storing those books in digital...
Today handwritten character recognition is one of the challenging computational processes. To the best of our knowledge, little work has been done in the area of tamil handwritten character recognition and they experimented with their own database. The main objective of this project is to get better the recognition ratewhile compared with the previous approaches for offline tamil handwritten character...
This paper presents an innovative technique to recognize Handwritten Articles. Proposed system is called "Panhinda". The target user group for this application would be the people who are involved with a lot of paper work on a daily basis. The proposed Character Recognition system was implemented with the capability of extracting the content of an image where the mentioned content is a hand...
Handwritten character recognition is considered to be one of the most fascinating and interesting field of research in image processing and pattern recognition. Due to the various challenges associated with it, intensive research works are currently in progress for constructing algorithms that produce better recognition accuracy. This paper proposes an algorithm that recognizes offline isolated Bangla...
The field of character recognition has attracted more concentration of researchers for recognizing text from ancient documents. But because of some of the problems like error in recognition in text lines, overlapped characters, joined text line, ages, damage in text lines it is becoming more challenging for them to recognize the text. However, Most of devnagari handwritten ancient documents are not...
This paper presents an application of a neural network in the optical character recognition (OCR) system. It introduces general architecture of modern OCR systems, discussing each module in detail. Specific contribution of this paper is novelty of the character extraction and segmentation, by considering them as image features. MSER (Maximally Stable Extremal Regions) feature detector is applied,...
We present a method for figure-panel (subfigure) label detection and recognition in multi-panel figures extracted from biomedical articles. Figures in biomedical articles often comprise several subfigures that are identified by superimposed panel labels ('A', 'B', ...) which are referenced in the figure caption and discussion in the article body. Splitting such multi-panel figures into individual...
Automatic optical character recognition is an important research area in document processing. There are several commercial tools for such purpose, which are becoming more efficient every day. There is still a lot to be improved, in the case of historical documents, however, due to the presence of noise and degradation. This paper presents a new approach for enhancing the character recognition in degraded...
Artificial immune systems[1–2] are highly distributed systems based on the principles of the natural system. In this paper, handwritten Icelandic character recognition strategy using artificial immune system was proposed and carefully experimented. With 73 feature coefficients extracted from 24∗24 handwritten Russian uppercase character image using 36 sub-meshing coefficients, 24 traversing-times...
This paper proposes an approach to recognize handwritten Tamil Character recognition. Handwritten Tamil character recognition refers to the process of conversion of handwritten Tamil character into printed Tamil character. It is difficult to process handwritten characters due to the great variations in writing styles, different size and orientation angle of the characters. In the proposed system the...
For License Plate Recognition (LPR) system, license plate character recognition rate is seriously affected by image quality. To resolve this problem, a new algorithm is proposed, in which Intersecting Cortical Model (ICM) is applied into license plate character recognition. ICM was derived from several visual cortex models, which can be applied to image feature extraction efficiently. In the new algorithm...
In a vehicle license plate identification system, locating the license plate in the image or video of a vehicle is an important step before final recognition. In the proposed method care has been taken up to extract license plate of motorcycle (size of plate is small and double row plate), car (single as well as double row type), transport vehicle such as bus, truck, dirty plates as well as multiple...
Noise is common phenomenon in every data. Non-text components in binarized text images, which are the results of the text extraction, are considered as noise. It degrades the performance of character recognition module. In this paper, a robust algorithm is proposed to detect text in the binarized text image with noise by extracting a new feature, called stroke width. Firstly, stroke width feature...
In many chemical industries, the metallurgy, a number of digital real-time monitoring instruments are used. The manual method will bring the problems of inefficient and misjudge. To recognize digital display instrument's real-time reading, a BP neural network is designed, an improved BP algorithm and fifteen feature extraction method is proposed. The image of instrument board is obtained by an digital...
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