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Recognizing the hand written document is one of the biggest challenges because of the variations in the handwritten text. The basic idea of this novel method is "divide and conquer". The algorithm recognizes the image in form of predefined glyphs. Based on the arrangement of the recognized glyphs, the exact character in the image can be recognized by comparing with the predefined glyphs...
The reason that Chinese characters are more difficult to identify than alphabetic characters lies in the fact that the precedent has more characters and more flexible shape distortion in hand-written process.In this paper, a novel approach based on comprehensive shape features for the recognition of Chinese characters is proposed. In this approach,firstly, the comprehensive features including the...
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. In this paper an attempt is made to recognize handwritten characters for English alphabets without feature extraction...
Identity of a motor vehicle is usually through its license plate. Automatic vehicle license plate recognition has several applications in intelligent traffic management systems. In this paper, we propose and describe a fast edge assisted adaptive binarization technique for improved extraction of text from license plate images captured using mobile phone camera. We evaluate and compare the performance...
A recent surge of interest is to recognize Bangla characters. Bangla characters represent complex, multidimensional and meaningful visual information and developing a computational model for Bangla character recognition is a challenging job. This research presents a hybrid neural network solution for Bangla character recognition which combines local image sampling and artificial neural network. The...
Optical Character Recognition (OCR) converts images of handwritten or printed text captured by camera or scanner into editable text. OCR has seen limited adoption in mobile platforms due to the performance constraints of these systems. Intel® Atom™ processors have enabled general purpose applications to be executed on handheld devices. In this paper, we analyze a reference implementation of the OCR...
Analysis the characteristics of meter digital structure, considering the complexity of the meter digital images background, combines dynamic threshold and global threshold binary image on instrument digital image pre-processing. Locating the digital on the instrument, eliminated pattern noise by opening operation and removed small adhesions between the digital and the border, utilized the connected...
Character segmentation and recognition are imperative steps in the vehicle license plate recognition (VLPR) system. The skewed license plate affects badly on the accurate character segmentation and recognition. To solve the problem, an efficient approach for skew correction of license plate is proposed based on wavelet transform and principal component analysis. First, a skew feature image of the...
In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
In this paper, we describe an alphabet character recognition method based on the morphological analysis of characters. The method can be also applied to numerals. Recognition is successful regardless of the character's width, size and color. The constraint is that the method works only with standard upright fonts. The resulting character recognition algorithm is very simple and suitable for implementation...
An automatic recognition method for steel billet images with different orientations is proposed in this paper. A crucial part of this method is to segment the image firstly, and then use the projection features of the segmented image to distinguish the different orientations of the steel billet in production line. After the string is segmented into individual characters, the segmented characters can...
Character recognition is a classical issue which has been devoted by a lot of researchers. Making character recognition system more widely available in natural scene images might open up interesting possibility to use as an input interface of characters and an annotation method for images. Nevertheless, it is still difficult to recognize all sorts of fonts including decorated characters such as characters...
The usual thinning algorithms based on analyzing the 8 adjoining points of the present pixel usually result in double pixels in the thinned image.In response to the necessity of detecting holes in the numeral recognition,a modified method is proposed based on the original thinning method,which can delete the unnesessory pixels,thus maintaining the single skeleton of the thinned number.It's proved...
This paper presents a smart and simple algorithm for vehicle's license plate recognition system. The proposed algorithm consists of three major parts namely detection of license plate from an image, segmentation and recognition of characters. For detection of the license plate, a memory and speed proficient algorithm has been proposed. After detection, statistical based template matching is used for...
This paper proposes an adaptive staff line removal method for music score images. The staff line removal is a key procedure in Optical Music Recognition (OMR) before musical symbol segmentation and classification. The proposed method consists of four main procedures, i.e., ROI(Region of Interest) selection, candidate point extraction, rotation correction and staff line removal. It selects a ROI, extracts...
Automatic Arabic handwritten text recognition is still an open research field, methods that describe satisfactory solution are still lacking. This can be attributed to cursive orthography and to the letter shape context sensitivity, which complex the problem of the character segmentation. This paper presents a heuristic rule based analytical segmentation approach for handwritten Arabic text, which...
This paper considers the topic of automatic font recognition. The task is to recognize a specific font from a text snippet. Unlike previous contributions, we evaluate, how the frequencies of certain letters or words influence automatic recognition systems. The evaluation provides estimates on the general feasibility of font recognition under various changing conditions. Results on a data-set containing...
In order to improve the accuracy of license plate character segmentation, this paper strengthens preprocessings before segmentation. In character binarization, use improved Bernsen method to reduce noise interference; use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character, can better solve character adhesion...
Burn scar identification is usually made in order to appraise injury degree of the forest after obtaining the fire spots. The most effective remote sensing methods for burn scar identification rely upon analysis of two MODIS near-infrared (NIR) channels centered near 1.24 and 2.13 um data. Due to burned-unburned separability and apparent reflectance of the two channels, the Global Environment Monitoring...
This paper at first presents a novel approach to recognize characters, numbers or the signs under translation, scaling and rotation (TRS) from Civil Aerial Meteorological Maps by templates, which is based on a new class of moment invariants. Meanwhile, aiming to the important parameter (the range of orders for moment invariants) in it, we prove so that could decrease efficiently the errors brought...
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