A fine-grained approach to scene text script identification

This paper focuses on the problem of script identification in unconstrained scenarios. Script identification is an important prerequisite to recognition, and an indispensable condition for automatic text understanding systems designed for multi-language environments. Although widely studied for document images and handwritten documents, it remains an almost unexplored territory for scene text images. We detail a novel method for script identification in natural images that combines convolutional features and the Naive-Bayes Nearest Neighbor classifier. The proposed framework efficiently exploits the discriminative power of small stroke-parts, in a fine-grained classification framework. In addition, we propose a new public benchmark dataset for the evaluation of joint text detection and script identification in natural scenes. Experiments done in this new dataset demonstrate that the proposed method yields state of the art results, while it generalizes well to different datasets and variable number of scripts. The evidence provided shows that multi-lingual scene text recognition in the wild is a viable proposition. Source code of the proposed method is made available online

Iravatham Mahadevan’s Reading of Indus Script: A Critical Review

This paper comprehensively summarizes, analyses, and reviews Iravatham Mahadevan’s attempts to decipher the Indus script. Spanning a period of over thirty five years, Iravatham Mahadevan made continuous attempts to interpret and decipher the Indus script. Mahadevan claimed to have adapted the method of parallels between the symbolic representation and the text, between the written object and its designation, between the written symbol itself and its meaning, and the similarity throughout the ancient East of certain portions of the inscriptions, with the assumption that the underlying language of the script is Dravidian. Mahadevan was very flexible in changing his views and finding new interpretations, and gradually he shifted his interpretation of Indus signs from being phonetic/logographic/word to ideographic, leaving unshaken his core personal hypothesis and belief in the Veḷier clan and Tamil cultural settings. While Mahadevan did not succeed in making a self-consistent system of readings applicable to a large number of discovered pieces of writings, he did make a determined, persistent effort to develop a Dravidian framework for deciphering of the Indus script. This study seeks to find weaknesses in the methodology and assumptions of Mahadevan and searches for possible alternatives within that framework