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A method of fish category recognition is proposed. Our novelty is in feature extraction technique, which is based on determining the curvature of the contour of fish image. The category recognition of test fish is done by a suitable linear multi-class SVM classifier. To apply our algorithm, we have developed a fish image database containing six different categories of fish. The overall accuracy of...
The recognition of legal amount present on a bank cheque is a big challenge because of the structural complexity of characters and variability of writing styles in automatic bank cheque processing. This paper proposes a technique of text word recognition based on template matching technique using Correlation coefficient. We have developed a database of 61 words, combination of which can represent...
Slope and Slant correction of off-line hand written text words is one of the important preprocessing step because it reduces the variations in person based writing styles and, thus, improves word recognition accuracy. This paper presents a novel slope and slant correction technique. We have developed a database and tested our algorithm on it. We compare our result with well-known slope and slant correction...
Slope and slant correction of off-line handwritten word are necessary to reduse the variations in writing styles. This paper presents a new technique for slope correction and two novel methods of slant correction in handwritten words. Our algorithms are tested on IAM benchmark database of cursive handwritten words. Promissing results for slope and slant angle estimation are reported and proposed slant...
Text line segmentation is one of the important steps for offline handwritten text / handwriting recognition. This paper describes a novel method of text line segmentation based on the physical process of writing. The basic concept behind this segmentation method is: two successive handwritten text-line are always non-intersecting. The proof of the theory is explained with a model of pen-tip movement...
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