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Form preview Summer project report for bim... FACULTY OF MANAGEMENT TRIBHUVAN UNIVERSITY GUIDELINES FOR BIM SUMMER PROJECT REPORT WRITING Office of the Dean Kirtipur IT 351 GUIDELINES FOR BIM SUMMER PROJECT REPORT WRITING INTRODUCTION The writing of a Summer Project SP report is an essential requirement for graduation from the Faculty of Management Tribhuvan University. Signature of the Supervisor Designation Page Abbreviations i ii iii iv v vi vii Background Project framework Data and Information Tools used Techniques of Project report analysis Analysis of tasks activities problems issues Analysis of possible solutions Findings Conclusions Recommendations if any. In such circumstances students are advised to wait until after the examination is completed and the final version of the content is approved. Reference Book Prem R.Pant 2015. Length Not specified Paper A4 white bond paper Typing Font Times New Roman Arial Calibri Standard letter size Title 12 and Text 11 Black Color One side of the paper Single-line spacing Margin Left and Top 35 mm Right and Bottom 20 mm Page Numbers All the pages in the initial part are in small roman centrally located at the bottom of the pages. EVALUATION OF THE SP REPORT The SP report will be fully evaluated by the internal project committee of the campus committee can bring external evaluator conduct presentation and viva voce on their own. The internally evaluated reports will be scrutinized/reevaluated by the experts appointed by the Dean s office of the Management and relative marking will be done upon necessity for the final marking. SP REPORTING REQUIREMENTS The student shall prepare a project report embodying the results of the study. STRUCTURE OF THE SP REPORT A SP report is typically made up of three main divisions 1 preliminary 2 body and 3 supplementary. Students shall be encouraged to choose summer projects which will compliment their academic interests coursework and career aspirations. At the end the students must prepare a report of their work in the prescribed format and submit it to the Research Committee through their supervisors. OBJECTIVES OF THE SP The objective of the SP is to enable students to study organization or unit of organization analyze the situation past present and report the study. Students should be able to provide their own suggestions/solutions to the issues/problems in the existing situation of the organization if they found any. This project also enables students in understanding of the data and information requirements of the organization to execute tasks and activities of the organization* Through this assignment students gain a new perspective into the real world. It is also an excellent networking platform for students to get acquainted with people from different organizations business backgrounds skills expertise etc* This will improve the student s networking skills. ACTIVITIES INVOLVED IN WRITING A SP REPORT The following activities will be involved in the SP report writing Selecting a relevant topic or issue for the study Getting approval of the Research Committee to pursue the proposed study Locating the relevant data documents Locating the sources of information Extracting the relevant information from different sources Organizing and analyzing the data documents Drawing conclusions and Writing a SP report.
Form preview Ocr project report form A Matlab Project in Optical Character Recognition OCR Jesse Hansen Introduction What is OCR The goal of Optical Character Recognition OCR is to classify optical patterns often contained in a digital image corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation feature extraction and classification* Each of these steps is a field unto itself and is described briefly here in the context of a Matlab implementation of OCR* One example of OCR is shown below. A portion of a scanned image of text borrowed from the web is shown along with the corresponding human recognized characters from that text. of descriptive bibliographies of authors and presses. His ubiquity in the broad field of bibliographical and textual study his seemingly complete possession of it distinguished him from his illustrious predecessors and made him the personification of bibliographical scholarship in his time. Figure 1 Scanned image of text and its corresponding recognized representation A few examples of OCR applications are listed here. The most common for use OCR is the first item people often wish to convert text documents to some sort of digital representation* 1. People wish to scan in a document and have the text of that document available in a word processor. 2. Recognizing license plate numbers 3. Post Office needs to recognize zip-codes Other Examples of Pattern Recognition 1. Facial feature recognition airport security Is this person a bad-guy 2. Speech recognition Translate acoustic waveforms into text. 3. A Submarine wishes to classify underwater sounds A whale A Russian sub A friendly ship The Classification Process Classification in general for any type of classifier There are two steps in building a classifier training and testing. These steps can be broken down further into sub-steps. 1. Training a* Pre-processing Processes the data so it is in a suitable form for b. Feature extraction Reduce the amount of data by extracting relevant information Usually results in a vector of scalar values. We also need to NORMALIZE the features for distance measurements c* Model Estimation from the finite set of feature vectors need to estimate a model usually statistical for each class of the training data 2. Testing closest match. One can use a distance measure. Data 2. Recognition Feature Extraction Model Estimation Figure 2 The pattern classification process Test OCR Pre-processing These are the pre-processing steps often performed in OCR Binarization Usually presented with a grayscale image binarization is then simply a matter of choosing a threshold value. Morphological Operators Remove isolated specks and holes in characters can use the majority operator. Segmentation Check connectivity of shapes label and isolate. Can use Matlab 6. 1 s bwlabel and regionprops functions. Difficulties with characters that aren t connected e*g* the letter i a semicolon or a colon or. Segmentation is by far the most important aspect of the pre-processing stage.

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