Comparison between Pen-scanner and Digital Camera Acquisition for Engraved Character Recognition
نویسندگان
چکیده
Engraved characters are usually a limitation for character recognition, as their extraction is difficult due to the small contrast with the background. Nevertheless, they are present in several industrial applications and their handling may be convenient for special tasks such as traceability or quality control. We propose here an entire system from acquisition to character recognition by considering two different and mobile acquisition devices, a pen-scanner close to traditional acquisition and a digital camera in order to appreciate performance and differences. In some industrial applications such as the ones including engraved characters, it may be difficult and awkward to properly build a large training database for recognition. Hence, we also propose a novel method to increase automatically the size of the training dataset without loosing representativeness by using image analogies. Results are finally presented in terms of Precision and Recall for character extraction quality and recognition rates for character recognition with comparison with a commercial OCR.
منابع مشابه
Stroke-Based Cursive Character Recognition
Off-line character recognition – Off-line character recognition takes a raster image from a scanner (scanned images of the paper documents), digital camera or other digital input sources. The image is binarised based on for instance, color pattern (color or gray scale) so that the image pixels are either 1 or 0. On-line character recognition – In on-line, the current information is presented to...
متن کاملThe perceptibility curve test applied to CCD and two methods of digitization of dental film-based radiographs
Objectives: Several methods of image acquisition are accessible in dentistry. There is no overall acceptable method for image digitization so all different types of images can be comparable. The objective of this study was to compare the diagnostic accuracy of different methods of image digitization. Methods: This accuracy diagnostic test study used perceptibility curve test which first intr...
متن کاملOnline Handwritten Chinese/Japanese Character Recognition
Handwritten character pattern recognition methods are generally divided into two types: online recognition and offline recognition [1]. Online recognition recognizes character patterns captured from a pen-based or touch-based input device where trajectories of pentip or finger-tip movements are recorded, while offline recognition recognizes character patterns captured from a scanner or a camera...
متن کاملNatural Scene Text Understanding
In a society driven by visual information and with the drastic expansion of low-priced cameras, vision techniques are more and more considered and text recognition is nowadays a fast changing field, which is included in a large spectrum, named text understanding. Previously, text recognition was dealing with documents only; those which were acquired with flatbed, sheet-fed or mounted imaging de...
متن کاملAn Analysis of Off-line and On-line Approaches in Urdu Character Recognition
In this research article a detailed analysis has been proposed for various offline and online character recognition systems for Urdu script from year 2002 to 2012. This analysis is based on the Methodology, Text Type, Font, Recognition Level, Sample and Accuracy Level achieved by each individual Urdu script recognition system. This paper attempts to cover various aspects of offline and online c...
متن کامل