Correction for Misrecognition of Korean Texts in Signboard Images using Improved Levenshtein Metric

Abstract

Recently various studies on various applications using images taken by mobile phone cameras have been actively conducted. This study proposes a correction method for misrecognition of Korean Texts in signboard images using improved Levenshtein metric. The proposed method calculates distances of five recognized candidates and detects the best match texts from signboard text database. For verifying the efficiency of the proposed method, a database dictionary is built using 1.3 million words of nationwide signboard through removing duplicated words. We compared the proposed method to Levenshtein Metric which is one of representative text string comparison algorithms. As a result, the proposed method based on improved Levenshtein metric represents an improvement in recognition rates 31.5% on average compared to that of conventional methods.

Mobile Phone Sensing using the Built-in Camera

“…Document digitization tool [25][26][27][28][29][30] The use of the smartphone camera for generating a digital representation of a document that works like the OCR document scanner. Translation tool [31,32] The use of the smartphone camera to capture words or road signs and get their translation in different languages. Augmented reality tool [13,33] The use of the smartphone camera as an input device to capture external elements and embed them in a modified or enhanced the physical view of a real environment.…”