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Detection of Courtesy Amount Block on Bank Checks
- Journal of Electronic Imaging
, 1995
"... This paper presents a multi-staged technique for locating the courtesy amount block on bank checks. In the case of a check processing system, many of the proposed methods are not acceptable, due to the the presence of many fonts and text sizes, as well as the short length of many text strings. This ..."
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This paper presents a multi-staged technique for locating the courtesy amount block on bank checks. In the case of a check processing system, many of the proposed methods are not acceptable, due to the the presence of many fonts and text sizes, as well as the short length of many text strings. This paper will describe particular methods chosen to implement a Courtesy Amount Block Locator (CABL). First, the connected components in the image are identified. Next, strings are constructed on the basis of proximity and horizontal alignment of characters. Finally a set of rules and heuristics are applied to these strings to choose the correct one. The chosen string is only reported if it passes a verification test, which includes an attempt to recognize the currency sign. Keywords: check analysis and processing, block detection, courtesy amount recognition, image processing, heuristics rules, segmentation 1 Introduction Trillions of dollars change hands each year in the form of handwritten ...
DWT based text localization
- In International Journal of Applied Science and Engineering
, 2004
"... Abstract: This paper presents an efficient yet simple method to extract text regions from static images or video sequences. The operation speed of Haar discrete wavelet transform (DWT) op-erates the fastest among all wavelets because its coefficients are either 1 or-1. This is one of the reasons we ..."
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Cited by 5 (0 self)
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Abstract: This paper presents an efficient yet simple method to extract text regions from static images or video sequences. The operation speed of Haar discrete wavelet transform (DWT) op-erates the fastest among all wavelets because its coefficients are either 1 or-1. This is one of the reasons we employ Haar DWT to detect edges of candidate text regions. The resulted detail component sub-bands contain both text edges and non-text edges. However, the intensity of the text edges is different from that of the non-text edges. Therefore, we can apply thresholding to preliminary remove the non-text edges. Text regions are composed of vertical edges, horizontal edges and diagonal edges. Morphological dilation operators are applied to connect isolated text edges of each detail component sub-band in a transformed binary image. According to the ex-periment results, real text regions are the overlapped portion of three kinds of dilated edges. Hence, we can apply the logical AND operator to three kinds of dilated edges and obtain the fi-nal text regions correctly.
Simple And Effective Feature Extraction For Optical Character Recognition
"... A new representation method for recognition of handwritten charcters, called LLF (Local Line Fitting), is presented. The method, based on simple geometric operations, is very efficient and yields a relatively low-dimensional and distortion invariant representation. An important feature of the approa ..."
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Cited by 4 (0 self)
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A new representation method for recognition of handwritten charcters, called LLF (Local Line Fitting), is presented. The method, based on simple geometric operations, is very efficient and yields a relatively low-dimensional and distortion invariant representation. An important feature of the approach is that no preprocessing of the input image is required. A black
SCANNED DOCUMENTS
, 2011
"... Page layout analysis and classification in complex scanned documents ..."
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