In this paper, we propose an efficient text detection method based on the Laplacian operator. the maximum gradient difference value is computed for each pixel in the Laplacian-filtered image. K-means is then used to c...
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For the automatic inspection for printed labels, which are covered with rubber-like coatings and Curl, we have developed a camera-based portable inspection system. In this paper, we explained the developed system, and...
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ISBN:
(纸本)9783642024801
For the automatic inspection for printed labels, which are covered with rubber-like coatings and Curl, we have developed a camera-based portable inspection system. In this paper, we explained the developed system, and especially discuss the inspection method of the spread and chip of the printed labels using neural networks. the experimental results confirm the validity of the proposed method for the spread and chip of alphanumerics.
作者：
Pletschacher, S.Hu, J.Antonacopoulos, A.Research Lab.
School of Computing Science and Engineering University of Salford Greater Manchester United Kingdom IBM
T.J. Watson Research Center 1101 Kitchawan Road Route 134 Yorktown Heights NY 10598 United States
this paper presents a new semi-supervised clustering framework to the recognition of heavily degraded characters in historical typewritten documents, where off-the-shelf OCR typically fails. the constraints are genera...
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With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character recognition (OCR) on each document followed by indexing ...
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作者：
Pletschacher, StefanResearch Lab.
School of Computing Science and Engineering University of Salford Greater Manchester United Kingdom
recognition and encoding of digitized historical documents is still a challenging and difficult task. A major problem is the occurrence of unknown glyphs and symbols which might not even exist in modern alphabets. Cur...
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Text detection in video images has received increasing attention, particularly in scene text detection in video images, as it plays a vital role in video indexing and information retrieval. this paper proposes a new a...
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Image registration is crucial for various image analysis tasks. In particular, most approaches to correction of bleed-through distortion on handwritten document images require the recto image and the verso image to be...
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the theoretic and algorithmic description of the parallel batch pattern back propagation (BP) training algorithm of multilayer perceptron is presented in this paper. the efficiency research of the developed parallel a...
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ISBN:
(纸本)9783642024801
the theoretic and algorithmic description of the parallel batch pattern back propagation (BP) training algorithm of multilayer perceptron is presented in this paper. the efficiency research of the developed parallel algorithm is fulfilled at progressive increasing of the dimension of parallelized problem on general-purpose parallel Computer NEC TX-7.
this paper proposes a novel algorithm for complete exact pattern-matching focusing the specificities of protein sequences (alphabet of 20 symbols) but, also highly efficient considering larger alphabets. the searching...
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ISBN:
(纸本)9783642024801
this paper proposes a novel algorithm for complete exact pattern-matching focusing the specificities of protein sequences (alphabet of 20 symbols) but, also highly efficient considering larger alphabets. the searching strategy uses large search windows allowing multiple alignments per iteration. A new filtering heuristic, named compatibility rule, contributed decisively to the efficiency improvement. the new algorithm's performance is, on average, superior in comparison with its best-rated competitors.
this paper presents a method for performing a robust association between the apneas and hypopneas recorded on a polysomnogram and the desaturations they cause. It is based on a structural algorithm that takes advantag...
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ISBN:
(纸本)9783642024801
this paper presents a method for performing a robust association between the apneas and hypopneas recorded on a polysomnogram and the desaturations they cause. It is based on a structural algorithm that takes advantage of the fuzzy set theory to represent the medical knowledge on which it relies. the method aims to generate information that could serve as a starting point for gaining a deeper insight into the Sleep Apnea-Hypopnea Syndrome by means of data mining techniques. this has led to a sacrifice of sensitivity for specificity. We have validated our proposal over 37 hours of polysomnographic recordings. 88% of the hypoventilations present in the recordings were associated withthe desaturations they caused, presenting a rate of false associations of 0.86%.
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