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Now-a-days breast cancer has become one of the leading cause of cancer death among women. This cancer is caused mostly due to the lifestyle changes, avoiding breast feeding etc. Detecting breast cancer takes long time due to manual diagnosis. Even though there are many diagnostic systems are available still, it takes more time for proper classification. For detecting breast cancer, mostly machine...
Image Preprocessing is an essential factor for any Face image, when processing it for research purpose, The need for Preprocessing is due to its variation in Lightening condition, differences in Pose, Head orientation and Expressions because the quality of an Image depend on the effectiveness of capture device like CCTV, Webcams etc. The common Preprocessing involves Color Normalization, Noise Reduction,...
In the new Steganographic technique, hiding is based on the difference between the secret message value and the pixel value of the green component of the image. The proposed method works in the spatial domain of the image. We check the difference value between secret byte ASCII (American Standard Code for Information Interchange) value and the pixel ASCII value. For comparison embedding is initially...
Diagnosing various diseases in medical field is very difficult even for medical expert. For solving this problem data mining was introduced. It discovers knowledge from the database. There are many subfields in data mining. One of the subfield is fuzzy logic. It is applied in many fields such as control theory, Artificial Intelligence (AI) and also in the field of medicine. This paper focuses on detecting...
This paper focuses on the functionalities of the various classifier rules in data mining. It presents an idea about how classifier rules are working over the given data sets. It also emancipates the variations induced by the classifier rules for obtaining the desired optimum classification. Classifier rules are the protocols which are implied over the data sets in order to obtain a highly comprehensive...
Automatic fingerprint recognition has received considerable attention over the past decades as fingerprint is one of the most popular and successful methods used for personal identification. In this paper, a method based on the combination of Fast Fourier transform (FFT) and Gaussian Bandpass Filter is proposed to enhance fingerprint image. Various filters directly generated in the frequency domain...
This paper focuses on the impact of learner engagement on the teaching-learning process. A well-designed program, BROMP (Baker Rodrigo Observation Method Protocol) helps to identify, record and use the learner engagement index to enhance and sustain the right kind of teaching-learning environment.
Skin color detection plays an important phase in identifying the face in images. Detecting face has become difficult because of the complexity in facial features and the similarity between those features. To identify a face, one of the basic step is to segment the image based on skin color. The main objective of the paper is to find a color model which is more suitable and shows a good performance...
Text Extraction plays a major role in finding vital and valuable information. Due to rapid growth of available multimedia documents and growing requirement for information, identification, indexing and retrieval, many researchers have been done on text extraction in images. The text characters are difficult to be detected and recognized due to their deviation of size, font, style, orientation, alignment,...
Fingerprints are widely used for unique personal identification based on minutiae matching. Minutiae are the terminations and bifurcations of ridges in a fingerprint image. Generally fingerprint images are of low quality due to the presence of noise and contrast deficiency resulting in discontinuity in ridges producing false minutiae points. It is worth noting that there is a fundamental difference...
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