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Presented at IEEE ICFSP 2026 — a note from Toulouse
Entreacte was presented at IEEE ICFSP 2026, held jointly with IPAI 2026 in Toulouse, 10 June 2026. A short note on the presentation, the published paper, and our thanks to the programs supporting this work.
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Reading the interval: transcription from the space between characters
Entreacte learns interval-glyphs — the space between two characters, indexed by the pair that bounds it — rather than the characters themselves. On regular-form text, a classifier identifies each junction and the overlap between intervals reconstructs the text at ~1.7% character error, OCR-grade, using structure alone with no language model.
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Why reversing binarization changes everything
Conventional OCR treats background as noise to be eliminated. We treat it as signal. Here's the mathematics behind the approach and why it lets the pipeline work on roughly 4× fewer pixels via interval downsampling.
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Building GNN glyph graphs from skeletal representations
After skeleton extraction, each glyph becomes a node in a graph neural network. With 17,831 edges across 1,675 objects, the structure encodes not just characters but their relational geometry.
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Cellular automata entropy and steganographic metadata
Local Shannon entropy over the reversed-binary skeleton yields a per-interval fingerprint. This explores how those entropy fields can carry steganographic metadata.
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Presenting at IPAI Toulouse 2026 — June 2026
A preview of our presentation at the International Patent & AI conference in Toulouse on 10 June 2026. Topics: live demo, roadmap, and applications in bioimaging and ancient scripts.
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