نتایج جستجو برای: optical character recognition
تعداد نتایج: 572436 فیلتر نتایج به سال:
Given a score representation and a recorded performance of the same piece of music, the task of score-performance synchronization is to temporally align musical sections such as bars specified by the score to temporal sections in the performance. Most of the previous approaches assume that the score and the performance to be synchronized globally agree with regard to the overall musical structu...
The Morse code is an international communication language that is simple, speedy, and low cost. The automatic recognition of Morse code is difficult because maintaining a stable typing rate is not easy. In this paper, a suitable adaptive automatic recognition method, the variable degree variable step size Least-Mean-Square algorithm, is provided and its procedure is divided into three modules: ...
Automatic document analysis tools for mathematical texts are necessary to enlarge the pool of mathematical knowledge available in electronic form. However, development of such tools is currently hindered by the weakness of optical character recognition systems in dealing with the large range of mathematical symbols and the often subtle but important distinctions in font usage in mathematical te...
For Automatic Optical Inspection (AOI) machines that were introduced to Printed Circuit Board market more than five years ago, illumination technique and light devices are outdated. Images captured by old AOI not easy be recognized typical optical character recognition (OCR) algorithms, especially for dark silk. How effectively increase silk accuracy is indispensable improving overall productio...
This paper presents an unified recognition and retrieval system for isolated offline printed mathematical symbols for the first time. The system is based on nearest neighbor scheme and uses modified Turning Function and Grid Features to calculate the distance between two symbols based on Sum of Squared Difference. An unwrap process and an alignment process are applied to modify Turning Function...
Holistic processing has long been considered as a property of right hemisphere (RH) processing. Nevertheless, recent studies showed reduced holistic processing and increased RH lateralization in Chinese character recognition expertise, suggesting that these two effects may separate. Through computational modeling, in which we implement a theory of hemispheric asymmetry in perception that posits...
It is possible to index and manage large video archives in a more efficient manner by detecting and recognizing text within video frames. There are some inherent properties of videotext, such as distinguishing texture, higher contrast against background, and uniform color, making it detectable. By employing these properties, it is possible to detect text regions and binarize the image for chara...
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. This paper describes a category-dependent feature extraction method that uses a feature compensation technique to overcome this weakness. Our proposed method estimates the degree of degradation of an input pattern by comp...
We explored statistical character recognition for our discretemathmodeling project. In statistical character recognition, a feature vector is used to classify characters. A feature vector represents in numerical form the important characteristics of an input. From the feature vector, classification is done. The feature vector length is important because it will allow us to recognize better as i...
Developing a Bangla OCR requires bunch of algorithm and methods. There were many effort went on for developing a Bangla OCR. But all of them failed to provide an error free Bangla OCR. Each of them has some lacking. We discussed about the problem scope of currently existing Bangla OCR‟s. In this paper, we present the basic steps required for developing a Bangla OCR and a complete workflow for d...
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