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Recently there is an emerging trend in the research to recognize handwritten characters and numerals of many Indian languages and scripts. In this manuscript we have practiced the recognition of handwritten Gurmukhi numerals. We have used three different feature sets. First feature set is comprised of distance profiles having 128 features. Second feature(More)
In this paper, a range free skew detection technique for machine printed Gurmukhi documents has been presented. This approach can easily be extended to other Indian language scripts such as Devnagri and Bakngla. Most characters in these scripts have horizontal lines at the top called headlines. The characters forming a word are joined at top by headlines,(More)
This paper presents an overview of Feature Extraction techniques for off-line recognition of isolated Gurumukhi numerals/characters. Selection of Feature Extraction method is probably the single most important factor in achieving high performance in pattern recognition. Our paper presents Zone based hybrid approach which is the combination of image centroid(More)
A lot of research has been done in recognizing handwritten characters in many languages like Chinese, Arabic, Devnagari, Urdu and English. This paper focuses on the problem of recognition of isolated handwritten numerals in Gurumukhi script. We have used different feature extraction techniques such as projection histograms, background directional(More)
In this manuscript we recognize the handwritten Devnagari numerals. In our implementation we have used density and background directional distribution features for the zones, in which we divided the numeral samples already. We used the normalized images of samples of varying sizes of 32*32, 40*40 and 48*48. We divided these normalized images into 4*4 (16),(More)
Text line segmentation is extremely important phase of OCR. Overlapped lines, skewed lines and connected components make the problem of line segmentation more complicated in Gurumukhi handwritten documents. The existence of these problems in handwritten text documents declines the performance of OCR system. In this paper, we present a technique to solve(More)
Digital watermarking has developed immensely for multimedia uses in the current decade. The requirement for protected digital content grows vital with the enhancement in exchange of digital images on internet. Watermarking is a technique to safeguard digital media by retaining the owner's possession. Fingerprinting extends the watermarking concept by(More)
— In this manuscript handwritten Gurmukhi character recognition for isolated characters is proposed. We have used some statistical features like zonal density, projection histograms (horizontal, vertical and both diagonal), distance profiles (from left, right, top and bottom sides). In addition, we have used background directional distribution (BDD)(More)
—In this paper, A new image steganography scheme is proposed which is a kind of spatial domain technique. In order to hide secret data in cover-image, the first component alteration technique is used. Techniques used so far focuses only on the two or four bits of a pixel in a image (at the most five bits at the edge of an image) which results in less peak(More)