کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
506889 865062 2016 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing the impact of graphical quality on automatic text recognition in digital maps
ترجمه فارسی عنوان
بررسی تاثیر کیفیت گرافیکی در به رسمیت شناختن متن به صورت خودکار در نقشه های دیجیتالی
کلمات کلیدی
پردازش نقشه دیجیتال؛ نقشه اسکن شده. سیستم اطلاعات جغرافیایی؛ تشخیص متن؛ تشخیص نوری کاراکتر؛ ارزیابی دقت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We discuss the impact of graphical quality on automatic map processing.
• We include a comprehensive experiment covering a wide range of map products.
• We report our findings on the tested map products under varying image resolutions.

Converting geographic features (e.g., place names) in map images into a vector format is the first step for incorporating cartographic information into a geographic information system (GIS). With the advancement in computational power and algorithm design, map processing systems have been considerably improved over the last decade. However, the fundamental map processing techniques such as color image segmentation, (map) layer separation, and object recognition are sensitive to minor variations in graphical properties of the input image (e.g., scanning resolution). As a result, most map processing results would not meet user expectations if the user does not “properly” scan the map of interest, pre-process the map image (e.g., using compression or not), and train the processing system, accordingly. These issues could slow down the further advancement of map processing techniques as such unsuccessful attempts create a discouraged user community, and less sophisticated tools would be perceived as more viable solutions. Thus, it is important to understand what kinds of maps are suitable for automatic map processing and what types of results and process-related errors can be expected. In this paper, we shed light on these questions by using a typical map processing task, text recognition, to discuss a number of map instances that vary in suitability for automatic processing. We also present an extensive experiment on a diverse set of scanned historical maps to provide measures of baseline performance of a standard text recognition tool under varying map conditions (graphical quality) and text representations (that can vary even within the same map sheet). Our experimental results help the user understand what to expect when a fully or semi-automatic map processing system is used to process a scanned map with certain (varying) graphical properties and complexities in map content.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 93, August 2016, Pages 21–35
نویسندگان
, , , , ,