3.3 Fractal dimension: Hausdorff’s dimension is the generally used represention for fractal dimension .Considering an object that possesses an Euclidean dimension R‚the Hausdorff’s fractal dimension F0 can be computed by the following expression: F0 = lim┬(e→0)log〖N(e〗 )/log〖e⁻¹〗 where N(e) is the counting of hyper-cubes of dimension R and length e that fill the object. But here fractal dimension is obtained using box counting algorithm .[15] 3.4 GLCM is the widely used statistical
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Optical Character Recognition for Cursive Handwriting Nafiz Arica‚ Student Member‚ IEEE‚ and Fatos T. Yarman-Vural‚ Senior Member‚ IEEE AbstractÐIn this paper‚ a new analytic scheme‚ which uses a sequence of segmentation and recognition algorithms‚ is proposed for offline cursive handwriting recognition problem. First‚ some global parameters‚ such as slant angle‚ baselines‚ and stroke width and height are estimated. Second‚ a segmentation method finds character segmentation paths by combining gray
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FINGER TRACKING IN REAL-TIME HUMAN COMPUTER INTERACTION Nabeel Fasal/PET Engineering College ABSTRACT: For a long time research on human-computer interaction (HCI) has been restricted to techniques based on the use of monitor‚ keyboard and mouse. Recently this paradigm has changed. Techniques such as vision‚ sound‚ speech recognition‚ projective displays and location aware devices allow for a much richer‚ multi-modal interaction between man and machine. Finger-tracking is usage of bare
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tongue portion other unwanted portion of the both images is cropped using imtool (). The ratio of R545 nm / R575 nm of the cropped image is taken to get monochrome image as output. Histogram is applied to the Monochrome image in which gives the pixel intensity values. Based on the intensity values psuedomapping is assigned. The colour coding gives the information about oral lesion discrimination. Oral lesion into blue color (healthy tissue)‚ red color (dysplastic/ pre-malignant) and yellow
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HTC One Eye vs. Samsung Galaxy S4 HTC is known for its innovative smartphone offerings around the globe. It was HTC‚ who first introduced the innovative UltraPixels camera on smartphones. Following the same pattern‚ HTC has introduced another brilliant smartphone with innovative camera in the Indian smartphone market. Named as HTC One Eye‚ this smartphone houses Dual 13 Megapixels Rear Camera‚ added with tons of great features. Not only the camera‚ but other hardware specifications and features of
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IMAGE PROCESSING SYSTEM-IMAPRO BY SAGAR GOLA DEPARTMENT OF INFORMATION TECHNOLOGY AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY AMITY UNIVERSITY UTTAR PRADESH NOIDA (U.P.) Image Processing System- IMAPRO Submitted to: AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY in partial fulfillment of the requirements for the award of
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OMR TECHNOLOGY Er. Ramesh Neupane Central Department of Computer Science and Information Technology Institute of Science and Technology Tribhuvan University March 13‚ 2011 Abstract Short for optical mark recognition‚ the technology of electronically extracting intended data from marked fields‚ such as checkboxes and fill-infields‚ on printed forms. OMR technology scans a printed form and reads predefined positions and records where marks are made on the form. This technology is
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used as input into our machine learning algorithm for depth estimation. (g‚ h) Our algorithm outputs dense metric depth maps of hands or faces in real-time. Abstract 1 We present a machine learning technique for estimating absolute‚ per-pixel depth using any conventional monocular 2D camera‚ with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regression forests
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International Journal of Computer Trends and Technology (IJCTT) - volume4Issue4 –April 2013 An approach for segmentation of medical images using pillar K-means algorithm M.Pavani#1‚ Prof. S.Balaji*2 # Department of Electronics and Computers Engineering‚ K.L. University Vaddeswaram‚ Vijayawada‚ India. * Department of Electronics and Computers Engineering‚ K.L. University Vaddeswaram‚ Vijayawada‚ India. ABSTRACT This paper presents an approach for image segmentation using pillar K-Means
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INDEX TITLE PAGE No. Abstract 2 1. Introduction 2 2. Summative account of the papers studied 3 3.1. Minutiae recognition system based on genetic algorithms 3 3.2. Fingerprint matching algorithms for integrated circuit cards 4 3.3. Algorithm based on tree comparisons using ratio of relational distances. 5 3. Comparative account of the papers studied 6 4. Conclusion 6 5. References 7 A SURVEY
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